Triple
T19415471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kartar Singh Sarabha |
E485701
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sarabha |
—
|
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: Sarabha | Statement: [Kartar Singh Sarabha, familyName, Sarabha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarabha Context triple: [Kartar Singh Sarabha, familyName, Sarabha]
-
A.
Sarabha
chosen
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
B.
Dhara
Dhara was the historic capital city of the Paramara dynasty in central India, known as an important political and cultural center during the medieval period.
-
C.
Sahodhari
Sahodhari is an Indian Tamil-language film produced by the prominent Chennai-based studio AVM Productions.
-
D.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
E.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af90758819088999d98d270011a |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.