Triple
T22523059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasrani Mappila |
E556827
|
entity |
| Predicate | regionOfInfluence |
P2828
|
FINISHED |
| Object | Thrissur |
—
|
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: Thrissur | Statement: [Nasrani Mappila, regionOfInfluence, Thrissur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thrissur Context triple: [Nasrani Mappila, regionOfInfluence, Thrissur]
-
A.
Thrissur
chosen
Thrissur is a major city in the south Indian state of Kerala, renowned for its cultural heritage, temples, and the famous Thrissur Pooram festival.
-
B.
Ernakulam
Ernakulam is a major commercial and urban district in the Indian state of Kerala, centered around the city of Kochi and serving as an important transportation and economic hub.
-
C.
Tirur
Tirur is a prominent town in Kerala, India, known as a commercial and cultural hub of the Malappuram district.
-
D.
Kottayam
Kottayam is a prominent town in the Indian state of Kerala known as a major center of Syrian Christian heritage, education, and publishing.
-
E.
Kozhikode
Kozhikode is a major coastal city in southern India historically known as Calicut, famed as a key medieval trading port and the landing place of Portuguese explorer Vasco da Gama.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e338dfc819082e1eeede3805fb9 |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.