Triple
T4444132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tepual International Airport |
E96238
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
PMC
PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
|
E440688
|
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: PMC | Statement: [El Tepual International Airport, IATAcode, PMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PMC Context triple: [El Tepual International Airport, IATAcode, PMC]
-
A.
PMC
PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
-
B.
PMC
PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
-
C.
CMP
CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
-
D.
CP
CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
-
E.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
- 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: PMC Triple: [El Tepual International Airport, IATAcode, PMC]
Generated description
PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PMC Target entity description: PMC is the IATA airport code for El Tepual International Airport serving Puerto Montt in southern Chile.
-
A.
PMC
PMC is the commonly used abbreviation for Pauli Murray College, a residential college at Yale University named after civil rights activist and legal scholar Pauli Murray.
-
B.
PMC
PMC is the widely used abbreviation for PubMed Central, a free digital archive of biomedical and life sciences journal literature maintained by the U.S. National Institutes of Health.
-
C.
CMP
CMP is the ICAO airline designator used to identify Copa Airlines in international aviation operations and communications.
-
D.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
-
E.
CP
CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355b052688190a0d8e5912f82151c |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61382d00481908b7c84f337b5cad7 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b6177d1a588190991fddf506239d22 |
completed | March 15, 2026, 2:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b61b6bc1448190b30d444a821bb1a5 |
completed | March 15, 2026, 2:37 a.m. |
Created at: March 12, 2026, 11:32 p.m.