Triple
T18982191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbi district |
E464455
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Wankaner |
—
|
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: Wankaner | Statement: [Morbi district, hasTown, Wankaner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wankaner Context triple: [Morbi district, hasTown, Wankaner]
-
A.
Wankaner
chosen
Wankaner is a historic town in Gujarat, India, known for its former princely-state status under the Jhala Rajput rulers and its notable royal palaces.
-
B.
Wanhatti
Wanhatti is a village in Suriname known as a Maroon settlement located within the country’s eastern Marowijne District.
-
C.
Kuwarra
Kuwarra is an Australian Aboriginal language variety spoken by Indigenous communities in the Western Desert region.
-
D.
Waronker
Waronker is a surname most notably associated with American music industry figures, including record producers and executives.
-
E.
Kawrareg
Kawrareg is an Indigenous Australian language traditionally spoken by the Kawrareg people of the western Torres Strait region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d65d27548190b86d4c5f5b51d809 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.