Triple
T22526904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بين الأطلال |
E556928
|
entity |
| Predicate | حقق |
P84022
|
FINISHED |
| Object | شهرة واسعة في العالم العربي |
—
|
LITERAL 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: شهرة واسعة في العالم العربي | Statement: [بين الأطلال, حقق, شهرة واسعة في العالم العربي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حقق Context triple: [بين الأطلال, حقق, شهرة واسعة في العالم العربي]
-
A.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
B.
winnerMake
Indicates that one entity causes or brings about another entity becoming the winner in a contest, competition, or selection process.
-
C.
winnerWork
Indicates that a particular work (such as a book, film, or piece of art) is the one that won a specified award or competition.
-
D.
wonAt
chosen
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
E.
defeat
Indicates that one entity wins against and overcomes another in a contest, conflict, or competition.
- F. None of above.
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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.