Triple
T11335576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaipur district |
E268462
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chomu |
E281918
|
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: Chomu | Statement: [Jaipur district, contains, Chomu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chomu Context triple: [Jaipur district, contains, Chomu]
-
A.
Chomu
chosen
Chomu is a historic town in the Indian state of Rajasthan, known for its traditional architecture and cultural heritage.
-
B.
Chonchi
Chonchi is a small historic coastal town on Chiloé Island in southern Chile, known for its traditional wooden architecture and UNESCO-listed church.
-
C.
Chiwu
Chiwu was the era name used by Sun Quan, ruler of Eastern Wu during China’s Three Kingdoms period, for a specific span of his reign.
-
D.
Choma
Choma is a town in southern Zambia that serves as an important administrative and commercial center for the surrounding agricultural region.
-
E.
Choma
Choma is the protagonist of the Kannada novel "Chomana Dudi," depicted as an oppressed Dalit farmer struggling against caste discrimination and social injustice.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9ff62c88190a089dd84e2ac1d17 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263cce588190a91f91cbdf023d5e |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.