Triple
T13131451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ibn al-Jazzar |
E311973
|
entity |
| Predicate | workCirculation |
P108227
|
FINISHED |
| Object | Latin translations |
—
|
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: Latin translations | Statement: [Ibn al-Jazzar, workCirculation, Latin translations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCirculation Context triple: [Ibn al-Jazzar, workCirculation, Latin translations]
-
A.
hasCirculationDesk
Indicates that an entity is equipped with or contains a circulation desk, typically used for managing the lending and return of materials.
-
B.
coCirculatesWith
Indicates that two entities move, are distributed, or are present together within the same circulation system or pathway.
-
C.
hasCirculationFeature
Indicates that an entity possesses a specific feature related to movement or flow within a system, such as circulation paths, routes, or mechanisms.
-
D.
hasPrimaryCirculation
Indicates that an entity possesses or is associated with a main or principal system, route, or pattern of circulation (such as movement, flow, or distribution).
-
E.
servedByLibrary
Indicates that an entity receives services, resources, or support from a particular library.
- F. None of above. chosen
Provenance (4 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b27a8c81909a92ab7be5d3a7e9 |
completed | April 10, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98134df64819084a5674f9475dcc2 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:08 p.m.