Triple
T7400435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaon district |
E170732
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | AS |
E30594
|
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: AS | Statement: [Nagaon district, hasVehicleRegistrationCode, AS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS Context triple: [Nagaon district, hasVehicleRegistrationCode, AS]
-
A.
AS
AS is the two-letter ISO 3166-1 alpha-2 country code assigned to American Samoa.
-
B.
AS
chosen
AS is the official vehicle registration code assigned to the Indian state of Assam.
-
C.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
-
D.
ARS
ARS is the principal in-house research agency of the United States Department of Agriculture, conducting scientific studies to improve agriculture, food safety, and environmental quality.
-
E.
ARS
ARS is the commonly used acronym for the Sicilian Regional Assembly, the legislative body of the autonomous region of Sicily in Italy.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24f6b7c81908cb61395239d03a0 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8110b6ffc819080f65c590f6ac156 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.