Triple
T14554556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq-i Ajam |
E341504
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Tuyserkan |
E859457
|
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: Tuyserkan | Statement: [Iraq-i Ajam, hasMajorCity, Tuyserkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuyserkan Context triple: [Iraq-i Ajam, hasMajorCity, Tuyserkan]
-
A.
Tuyserkan
chosen
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
-
B.
Meykandar
Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
-
C.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
D.
Zanjanrud
Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
-
E.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94afc95c8190ae4aff12c9d69c88 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.