Triple
T21396799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabah Iranun |
E527806
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Sabah Iranon |
—
|
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: Sabah Iranon | Statement: [Sabah Iranun, hasAlternativeName, Sabah Iranon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabah Iranon Context triple: [Sabah Iranun, hasAlternativeName, Sabah Iranon]
-
A.
Sabah Iranun
chosen
Sabah Iranun is a regional dialect of the Iranun language spoken primarily by Iranun communities in the Malaysian state of Sabah.
-
B.
Shahdad
Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
-
C.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
-
D.
Kowsar
Kowsar is a small city in northwestern Iran known for its location within Ardabil Province and its surrounding mountainous landscape.
-
E.
Negahban
Negahban is the surname of Navid Negahban, an Iranian-American actor known for his roles in film and television, including the series "Homeland."
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b11a2aec8190a60e53b90d0823b1 |
completed | April 22, 2026, 11:29 a.m. |
Created at: April 16, 2026, 5:13 p.m.