Triple
T4782824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashavatara |
E106405
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Matsya |
E106403
|
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: Matsya | Statement: [Dashavatara, member, Matsya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsya Context triple: [Dashavatara, member, Matsya]
-
A.
Matsya
chosen
Matsya is the fish incarnation of the Hindu god Vishnu, known for saving the sacred scriptures and the first man from a great deluge.
-
B.
Sturgeon
Sturgeon is a surname most prominently associated with Nicola Sturgeon, the former First Minister of Scotland and leader of the Scottish National Party.
-
C.
Rana
Rana is a large and widespread genus of true frogs that includes many familiar pond and stream-dwelling species found across much of the world.
-
D.
Rana
Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
-
E.
Rana
Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65ad3a188190872e47e3a3bf504b |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d912f5c81909537b861dd0a4591 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:22 p.m.