Triple
T1510072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalpeni |
E33993
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Kodithala |
E158062
|
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: Kodithala | Statement: [Kalpeni, hasIsland, Kodithala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kodithala Context triple: [Kalpeni, hasIsland, Kodithala]
-
A.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
B.
Kadamtala
chosen
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
C.
Yerrapragada
Yerrapragada was a prominent medieval Telugu poet and scholar, renowned for his contributions to classical Telugu literature and refinement of earlier works.
-
D.
Cheriyam
Cheriyam is a small island that forms part of the Kalpeni atoll in the Lakshadweep archipelago of India.
-
E.
Gadchiroli
Gadchiroli is a district in the eastern part of Maharashtra, India, known for its dense forests, tribal population, and Naxalite (Maoist) insurgency-affected areas.
- 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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8891e9da881909d0b12f1bc05863f |
completed | March 4, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294805308190ada3ed69ec71ce43 |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 4, 2026, 7:24 p.m.