Triple
T33019052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thyagaraja |
E844853
|
entity |
| Predicate | hasMajorCultCenterAt |
P202778
|
FINISHED |
| Object | Tiruvarur |
—
|
NE NERFINISHED |
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: Tiruvarur | Statement: [Thyagaraja, hasMajorCultCenterAt, Tiruvarur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCultCenterAt Context triple: [Thyagaraja, hasMajorCultCenterAt, Tiruvarur]
-
A.
hasImperialCultCenter
Indicates that a place serves or served as a center for the worship and official cult of an emperor or imperial authority.
-
B.
preColumbianSettlement
Indicates that an entity is a human settlement that existed in a region before the arrival of Christopher Columbus and subsequent European contact.
-
C.
hasArchaeologicalSitesFrom
Indicates that an entity contains or is associated with archaeological sites dating from a specified time period or era.
-
D.
hasMajorHistoricalCentersIn
Indicates that an entity possesses significant, historically important centers or hubs located within a specified place or region.
-
E.
earliestKnownCivilization
Indicates that the subject is recognized as the first or oldest known civilization associated with the object (such as a region, culture, or time period).
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00b7fb90f881908f73edf2be8cc3a5 |
completed | May 10, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_6a00b75593d08190b3e76191cd79cdec |
completed | May 10, 2026, 4:50 p.m. |
| PDg | Predicate description generation | batch_6a00b7faee908190906aae5233ea3122 |
completed | May 10, 2026, 4:53 p.m. |
Created at: May 1, 2026, 1:23 a.m.