Triple
T16987829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Wahab |
E412114
|
entity |
| Predicate | honorific |
P301
|
FINISHED |
| Object | Sarmast |
E408303
|
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: Sarmast | Statement: [Abdul Wahab, honorific, Sarmast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarmast Context triple: [Abdul Wahab, honorific, Sarmast]
-
A.
Sarmast
chosen
Sarmast is an honorific title associated with the renowned Sindhi Sufi poet and mystic Sachal Sarmast.
-
B.
Sark
Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
-
C.
Sarca
The Sarca is a river in northern Italy that flows through the Trentino region and ultimately feeds into Lake Garda.
-
D.
Sarris
Sarris is the ruthless alien warlord who serves as the main villain in the sci-fi comedy film "Galaxy Quest."
-
E.
SARCO
SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc12e308819093e7f8933cdd6ba9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.