Triple
T23537372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Glaize-Osage Beach Airport |
E577635
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
OSB
OSB is the IATA airport code for Grand Glaize-Osage Beach Airport, a public airport serving the Osage Beach area in Missouri, United States.
|
E1591965
|
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: OSB | Statement: [Grand Glaize-Osage Beach Airport, IATA code, OSB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSB Context triple: [Grand Glaize-Osage Beach Airport, IATA code, OSB]
-
A.
OSB
OSB is the professional regulatory organization responsible for licensing and overseeing lawyers in the state of Oregon.
-
B.
OSB
OSB is the Canadian federal agency responsible for regulating and supervising the administration of bankruptcies and insolvencies across Canada.
-
C.
OSB
OSB is the post-nominal abbreviation for the Order of Saint Benedict, a Roman Catholic monastic religious order following the Rule of St. Benedict.
-
D.
Parquet
Parquet is a columnar storage file format optimized for efficient data compression and query performance, widely used in big data processing frameworks.
-
E.
Norsey Wood
Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
- 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: OSB Triple: [Grand Glaize-Osage Beach Airport, IATA code, OSB]
Generated description
OSB is the IATA airport code for Grand Glaize-Osage Beach Airport, a public airport serving the Osage Beach area in Missouri, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSB Target entity description: OSB is the IATA airport code for Grand Glaize-Osage Beach Airport, a public airport serving the Osage Beach area in Missouri, United States.
-
A.
OSB
OSB is the professional regulatory organization responsible for licensing and overseeing lawyers in the state of Oregon.
-
B.
OSB
OSB is the Canadian federal agency responsible for regulating and supervising the administration of bankruptcies and insolvencies across Canada.
-
C.
OSB
OSB is the post-nominal abbreviation for the Order of Saint Benedict, a Roman Catholic monastic religious order following the Rule of St. Benedict.
-
D.
Parquet
Parquet is a columnar storage file format optimized for efficient data compression and query performance, widely used in big data processing frameworks.
-
E.
Norsey Wood
Norsey Wood is an ancient woodland and designated Local Nature Reserve near Billericay in Essex, known for its rich biodiversity and archaeological features.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1831688190ac06b84729bce160 |
completed | April 29, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0cdf59cfa48190b7be6602dfef5fb6 |
completed | May 19, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_6a0ce35a16a08190969f6811be7e471c |
completed | May 19, 2026, 10:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ce4d4321c8190af0fe04f728c4f67 |
completed | May 19, 2026, 10:31 p.m. |
Created at: April 17, 2026, 6:10 p.m.