Triple
T20133587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondai Nadu |
E490960
|
entity |
| Predicate | partOfHistoricalDivision |
P5057
|
FINISHED |
| Object | ancient Tamil territorial divisions |
—
|
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: ancient Tamil territorial divisions | Statement: [Tondai Nadu, partOfHistoricalDivision, ancient Tamil territorial divisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfHistoricalDivision Context triple: [Tondai Nadu, partOfHistoricalDivision, ancient Tamil territorial divisions]
-
A.
historicallyPartOf
chosen
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
B.
historicalRegionPartlyIn
Indicates that a historical region is located partly, but not entirely, within a specified larger area or territory.
-
C.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
-
D.
historicalRegion
Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
-
E.
historicallyDividedInto
Indicates that an entity was separated into multiple distinct parts or regions during a past historical period.
- F. None of above.
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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.