Triple
T7912019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guwahati International Airport |
E183721
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | GAU |
E179154
|
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: GAU | Statement: [Guwahati International Airport, IATAcode, GAU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAU Context triple: [Guwahati International Airport, IATAcode, GAU]
-
A.
GAU
chosen
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
B.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
C.
GUA
GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
-
D.
GUA
GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
-
E.
GA-1
GA-1 is the abbreviated designation for Georgia State Route 1, a major north–south state highway running through western Georgia.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a7383cc819084eab19799209d2e |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdaf91c8190b31c5e539bdf049f |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.