Triple
T3116196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erode |
E65067
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Textile City |
E179711
|
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: Textile City | Statement: [Erode, nickname, Textile City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Textile City Context triple: [Erode, nickname, Textile City]
-
A.
Textile City
Textile City is a nickname for Daegu, a major South Korean city historically known as a center of the textile and fashion industries.
-
B.
Textile City
chosen
Textile City is a popular nickname for Coimbatore, a major South Indian industrial hub renowned for its extensive textile and garment manufacturing industry.
-
C.
White City
White City is a small unincorporated community and census-designated place in Salt Lake County, Utah, primarily residential in character.
-
D.
White City
White City was the gleaming, neoclassical fairground of the 1893 World’s Columbian Exposition in Chicago, famed for its grand architecture and extensive use of electric lighting.
-
E.
Bricktown
Bricktown is a revitalized former warehouse district in downtown Oklahoma City known for its entertainment venues, restaurants, and canal-side attractions.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2039d9d408190b01e45f0ced5ca3d |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.