Triple
T13887922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airports Authority of India |
E333893
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | AAI |
E333893
|
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: AAI | Statement: [Airports Authority of India, shortName, AAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AAI Context triple: [Airports Authority of India, shortName, AAI]
-
A.
AAI
chosen
AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
-
B.
AAAAI
AAAAI is a leading professional medical organization in the United States dedicated to advancing the knowledge and treatment of allergic and immunologic diseases.
-
C.
AAS
AAS is a major professional organization dedicated to the advancement of astronomy and related sciences in the United States.
-
D.
AAS
AAS is a pan-African scientific organization that promotes excellence in science, technology, and innovation to drive sustainable development across the African continent.
-
E.
AAS
AAS is a federal acquisition organization that provides assisted procurement and contracting services to U.S. government agencies.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a281e481908a6184bcd7f59c03 |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c718140c8190a625da87231ee814 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.