Triple
T27646377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unnamulai Amman |
E696722
|
entity |
| Predicate | primaryCultRegion |
P200079
|
FINISHED |
| Object | South India |
—
|
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: South India | Statement: [Unnamulai Amman, primaryCultRegion, South India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCultRegion Context triple: [Unnamulai Amman, primaryCultRegion, South India]
-
A.
primaryCult
Indicates that an entity serves as the main or most significant object of religious worship or veneration for another entity.
-
B.
primaryCropRegion
Indicates that a region is a main or predominant area where a particular crop is grown or produced.
-
C.
culturalRegion
Indicates that an entity is located in, associated with, or belongs to a specific cultural region or cultural area.
-
D.
regionOfEarlyCultivation
Indicates the geographic area where a particular species, crop, or practice was first or among the earliest to be cultivated.
-
E.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
- 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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
| PDg | Predicate description generation | batch_69ff70ebec7481908d8a4124c8d531df |
completed | May 9, 2026, 5:37 p.m. |
Created at: April 27, 2026, 2:29 p.m.