Triple
T14617002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Naval Command |
E343111
|
entity |
| Predicate | controls |
P760
|
FINISHED |
| Object | INS Kattabomman |
E333872
|
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: INS Kattabomman | Statement: [Southern Naval Command, controls, INS Kattabomman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INS Kattabomman Context triple: [Southern Naval Command, controls, INS Kattabomman]
-
A.
INS Kattabomman
chosen
INS Kattabomman is a major Indian naval base and facility, best known for its strategic role in supporting submarine operations and communications.
-
B.
Kovalan
Kovalan is a tragic hero from ancient Tamil literature, best known as the ill-fated husband of Kannagi in the epic Silappatikaram.
-
C.
Taymuri
Taymuri are a sub-group of the Aimaq people, traditionally semi-nomadic pastoralists living mainly in western and central Afghanistan.
-
D.
Pillaiyar
Pillaiyar is a widely revered elephant-headed Hindu deity, especially in South India, worshipped as the remover of obstacles and patron of beginnings and wisdom.
-
E.
Daggubati
Daggubati is an Indian family name notably associated with a prominent film-producing and acting dynasty in the Telugu cinema industry.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46439b88190a4affcc7ccedab6b |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.