Triple
T7029370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Amanat International Airport |
E163231
|
entity |
| Predicate | focusCityFor |
P164
|
FINISHED |
| Object | Novoair |
E573570
|
NE 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: Novoair | Statement: [Shah Amanat International Airport, focusCityFor, Novoair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novoair Context triple: [Shah Amanat International Airport, focusCityFor, Novoair]
-
A.
Novoair
chosen
Novoair is a Bangladeshi domestic airline known for operating scheduled passenger services primarily within Bangladesh.
-
B.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
C.
Singulair
Singulair is a prescription leukotriene receptor antagonist (montelukast) commonly used to prevent and manage asthma and allergy symptoms.
-
D.
Canair
Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
-
E.
Optax
Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e200ecdc819098ca07473dfb272a |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:35 p.m.