Triple
T4705170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Bernardo O'Higgins Airport (Chillán) |
E104374
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
SCCH
SCCH is the ICAO airport code for General Bernardo O'Higgins Airport serving the city of Chillán in Chile.
|
E462176
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SCCH | Statement: [General Bernardo O'Higgins Airport (Chillán), hasICAOCode, SCCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCCH Context triple: [General Bernardo O'Higgins Airport (Chillán), hasICAOCode, SCCH]
-
A.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
-
B.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
C.
SCC
SCC is the abbreviated name of the SAARC Cultural Centre, an institution that promotes cultural cooperation among South Asian Association for Regional Cooperation member countries.
-
D.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SCCH Triple: [General Bernardo O'Higgins Airport (Chillán), hasICAOCode, SCCH]
Generated description
SCCH is the ICAO airport code for General Bernardo O'Higgins Airport serving the city of Chillán in Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCCH Target entity description: SCCH is the ICAO airport code for General Bernardo O'Higgins Airport serving the city of Chillán in Chile.
-
A.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
B.
SCC
SCC is the abbreviated name of the SAARC Cultural Centre, an institution that promotes cultural cooperation among South Asian Association for Regional Cooperation member countries.
-
C.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
-
D.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63d1e9c48190bad5f7d68bf0f622 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03d074348190a19092fa02a0bb39 |
completed | March 21, 2026, 2:34 a.m. |
| NEDg | Description generation | batch_69be050e0f488190804c512e7cc17c56 |
completed | March 21, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be05a6bed081909c8d8830fb103610 |
completed | March 21, 2026, 2:42 a.m. |
Created at: March 20, 2026, 1:17 p.m.