Triple
T16798903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sachal Sarmast |
E408302
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Daraza |
E408304
|
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: Daraza | Statement: [Sachal Sarmast, placeOfBirth, Daraza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daraza Context triple: [Sachal Sarmast, placeOfBirth, Daraza]
-
A.
Daraza
chosen
Daraza is a village in Sindh, Pakistan, known primarily as the birthplace of the renowned Sufi poet Sachal Sarmast.
-
B.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
C.
Darab
Darab is a historic city in southern Iran known for its ancient ruins, agricultural significance, and location within Fars Province.
-
D.
Daza
The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
-
E.
Dazaga
Dazaga is a Saharan language spoken primarily by the Daza (Gorane) people across parts of Chad, Niger, Libya, and Sudan.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2abc430819080c1303eded5f416 |
completed | April 18, 2026, 4:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1299ac81908e9f1eebc3424bb9 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.