Triple
T7650322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilakkam |
E173232
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Kalpeni |
E33993
|
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: Kalpeni | Statement: [Tilakkam, hasNearbyIsland, Kalpeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalpeni Context triple: [Tilakkam, hasNearbyIsland, Kalpeni]
-
A.
Kalpeni
chosen
Kalpeni is a coral atoll and inhabited island in India’s Lakshadweep archipelago in the Arabian Sea, known for its lagoon, beaches, and coconut groves.
-
B.
Kadamtala
Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
C.
Karmanor
Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
-
D.
Kundagannada
Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
-
E.
Kausani
Kausani is a scenic hill town in Uttarakhand, India, renowned for its panoramic Himalayan views and tranquil natural surroundings.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70175e4b88190bc40c839a42180d4 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ae293148190a30ef03a4a594fe6 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:58 p.m.