Triple
T2304617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dabolim Airport |
E51808
|
entity |
| Predicate | hasApronType |
P39065
|
FINISHED |
| Object | shared civil–military apron |
—
|
LITERAL FINISHED |
How this triple was built (2 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: shared civil–military apron | Statement: [Dabolim Airport, hasApronType, shared civil–military apron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApronType Context triple: [Dabolim Airport, hasApronType, shared civil–military apron]
-
A.
hasApron
Indicates that one entity possesses or is wearing an apron in relation to another context or entity.
-
B.
wornOver
Indicates that one item of clothing or accessory is positioned on top of and covering another item when worn.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
wornAs
Indicates that one entity is used or put on as clothing, an accessory, or a wearable item by another entity.
-
E.
wearsOnUniform
Indicates that an item is part of and is worn as a component of a uniform.
- F. None of above. chosen
Provenance (4 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abce1e7c788190a15890feb2437f1d |
completed | March 7, 2026, 7:05 a.m. |
Created at: March 4, 2026, 7:49 p.m.