Triple
T17541542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greco-Buddhist art |
E427209
|
entity |
| Predicate | hasNotableCenter |
P6682
|
FINISHED |
| Object | Hadda |
—
|
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: Hadda | Statement: [Greco-Buddhist art, hasNotableCenter, Hadda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadda Context triple: [Greco-Buddhist art, hasNotableCenter, Hadda]
-
A.
Hadda
chosen
Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
-
B.
Humera
Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
-
C.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
-
D.
Hyder
Hyder is a surname of South Asian origin commonly found among Muslim families, including that of the fictional character Sufiya Zinobia.
-
E.
Kalhori
Kalhori is a major dialect of Southern Kurdish spoken primarily in western Iran, particularly in parts of Kermanshah and Ilam provinces.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545e64448190a2a63bc13f549027 |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.