Triple
T8926029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kesh Temple Hymn |
E212540
|
entity |
| Predicate | praises |
P11240
|
FINISHED |
| Object | city of Kesh |
E766764
|
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: city of Kesh | Statement: [Kesh Temple Hymn, praises, city of Kesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Kesh Context triple: [Kesh Temple Hymn, praises, city of Kesh]
-
A.
city of Kesh
chosen
The city of Kesh is an ancient Mesopotamian city known primarily from Sumerian religious literature, where it is celebrated as a significant cult and temple center.
-
B.
city of Shushtar
The city of Shushtar is a historic urban center in southwestern Iran, renowned for its ancient hydraulic system and distinctive local culture.
-
C.
Istakhr
Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
-
D.
Iranshahr
Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
-
E.
Nishapur
Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66700fb48190874563e535f20437 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d55d84819094bc2b6e3dd94254 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:57 p.m.