Triple
T11489514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanam district |
E272366
|
entity |
| Predicate | integratedIntoIndianUnionAs |
P99767
|
FINISHED |
| Object | part of Union Territory of Puducherry |
—
|
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: part of Union Territory of Puducherry | Statement: [Yanam district, integratedIntoIndianUnionAs, part of Union Territory of Puducherry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedIntoIndianUnionAs Context triple: [Yanam district, integratedIntoIndianUnionAs, part of Union Territory of Puducherry]
-
A.
establishedAsUnionTerritoryOn
Indicates the date or event on which a region was formally designated and constituted as a union territory.
-
B.
wasUnionTerritoryAs
Indicates that an entity held the status of a union territory during a specified time or under specified conditions.
-
C.
timeOfIntegrationIntoPakistan
Indicates the point in time at which an entity was incorporated into or became part of Pakistan.
-
D.
namedJunagarhSince
Indicates that an entity has held the name "Junagarh" starting from a specified point in time.
-
E.
annexedInYear
Indicates that one entity was formally annexed or incorporated into another in the specified calendar year.
- F. None of above. chosen
Provenance (4 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a20df608190992543b4d7006f8a |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.