Triple
T19698700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhishma |
E473034
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pitamah |
—
|
NE NERFINISHED |
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: Pitamah | Statement: [Bhishma, alsoKnownAs, Pitamah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pitamah Context triple: [Bhishma, alsoKnownAs, Pitamah]
-
A.
Pitamah
chosen
Pitamah is an honorific epithet for Bhishma, the revered grandsire and legendary warrior of the Indian epic Mahabharata.
-
B.
Bhilala
The Bhilala are an indigenous Adivasi community of central India, primarily found in western Madhya Pradesh and known for their distinct cultural traditions and art.
-
C.
Pabir
The Pabir are an ethnic group of West Africa, closely associated with the Bura people and primarily found in northeastern Nigeria.
-
D.
Valparai
Valparai is a hill town in Tamil Nadu, India, known for its tea and coffee plantations, cool climate, and rich biodiversity within the Western Ghats.
-
E.
Pumanque
Pumanque is a rural municipality and town in central Chile’s O’Higgins Region, known for its agricultural activities within the Colchagua Valley area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b426608190a46abec3652a6ca0 |
completed | April 20, 2026, 3:13 p.m. |
Created at: April 10, 2026, 1:46 p.m.