Triple
T21084454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karim Sanjabi |
E519448
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Kermanshah |
—
|
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: Kermanshah | Statement: [Karim Sanjabi, placeOfBirth, Kermanshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kermanshah Context triple: [Karim Sanjabi, placeOfBirth, Kermanshah]
-
A.
Kermanshah
chosen
Kermanshah is a major city in western Iran known for its rich Kurdish culture and proximity to important historical and archaeological sites.
-
B.
Khorramabad
Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
-
C.
Sardasht
Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
-
D.
Kerman
Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
-
E.
Kerman
Kerman is the surname of Piper Kerman, the American author whose memoir inspired the television series "Orange Is the New Black."
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709498fc081908d92a93e8678c140 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:49 p.m.