Triple
T29434288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noida International Airport |
E746523
|
entity |
| Predicate | terminalCountPhase1 |
P2957
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Noida International Airport, terminalCountPhase1, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminalCountPhase1 Context triple: [Noida International Airport, terminalCountPhase1, 1]
-
A.
numberOfTerminals
chosen
Indicates the total count of terminal points or endpoints associated with an entity.
-
B.
terminalNumber
Indicates the specific terminal identifier associated with an entity, such as a device, port, or connection point, within a larger system or network.
-
C.
phaseCount
Indicates the number of distinct phases or stages associated with a given process, event, or entity.
-
D.
portCount
Indicates the number of ports associated with an entity or component.
-
E.
branchCount
Indicates the number of branches associated with a given entity or structure.
- F. None of above.
Provenance (3 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 28, 2026, 3:15 p.m.