Triple
T4615713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DEL |
E100862
|
entity |
| Predicate | renamedIndiraGandhiInternationalAirport |
P57458
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [DEL, renamedIndiraGandhiInternationalAirport, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedIndiraGandhiInternationalAirport Context triple: [DEL, renamedIndiraGandhiInternationalAirport, 1986]
-
A.
replacedAsMainAirportFor
Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
-
B.
namedAfterAirportOriginalName
Indicates that one entity is named after the original name of an airport, rather than its current or later name.
-
C.
airportOfficialName
Indicates the officially designated full name of an airport as recognized by authorities or governing bodies.
-
D.
airportAlsoKnownAs
Indicates that an airport is referred to by an alternative name or alias in addition to its primary name.
-
E.
reopenedAsInternationalTerminal
Indicates that a terminal, previously closed or used differently, has been reopened specifically to function as an international terminal.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59df3c3c8190be5db000f831d322 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:12 p.m.