Triple
T3227680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Navy |
E67661
|
entity |
| Predicate | hasNavalBase |
P1869
|
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: [Indian Navy, hasNavalBase, INS Kattabomman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INS Kattabomman Context triple: [Indian Navy, hasNavalBase, 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.
Nayaka
Nayaka refers to a South Indian-origin royal and warrior community historically influential in the politics and courts of Sri Lanka and southern India.
-
D.
Vetrimaaran
Vetrimaaran is an acclaimed Indian filmmaker and screenwriter known for his gritty, realistic Tamil-language films and multiple National Film Awards.
-
E.
Veer
Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
- 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_69ad858c61888190a31196310d9b30b5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaeb5e67c819082070d108d3613ba |
completed | March 8, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26262af848190a918f3a606bfa616 |
completed | March 12, 2026, 6:51 a.m. |
Created at: March 8, 2026, 3:08 p.m.