Triple
T9055308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iranian mythology |
E216980
|
entity |
| Predicate | hasMythicalFigure |
P86125
|
FINISHED |
| Object | Manuchehr |
E515487
|
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: Manuchehr | Statement: [Iranian mythology, hasMythicalFigure, Manuchehr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuchehr Context triple: [Iranian mythology, hasMythicalFigure, Manuchehr]
-
A.
Manuchehr
chosen
Manuchehr is a legendary king in Iranian mythology, celebrated in epic literature such as the Shahnameh as a just and heroic ruler of the early Pishdadian era.
-
B.
Manuchehri
Manuchehri was an 11th-century Persian court poet renowned for his vivid nature imagery, musical style, and panegyrics composed under the Ghaznavid dynasty.
-
C.
Chaghcharan
Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
-
D.
Khar
Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
-
E.
Samalkha
Samalkha is a town in the northern Indian state of Haryana, known for its industrial activity and location along major transport routes.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a7488188190b3dd6bc2f2377503 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebdb01a8819084365c9b73506a28 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.