Triple
T9214697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Behind the Gare Saint-Lazare |
E221212
|
entity |
| Predicate | hasBeenReproducedIn |
P86892
|
FINISHED |
| Object | photography books |
—
|
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: photography books | Statement: [Behind the Gare Saint-Lazare, hasBeenReproducedIn, photography books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenReproducedIn Context triple: [Behind the Gare Saint-Lazare, hasBeenReproducedIn, photography books]
-
A.
hasReproduction
Indicates that one entity possesses or exhibits a particular mode, process, or capability of reproduction.
-
B.
hasReproductionType
Indicates the mode or method by which an entity reproduces or generates offspring.
-
C.
reproductionInCaptivity
Indicates that an organism reproduces successfully while being kept in a controlled or captive environment rather than in the wild.
-
D.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
-
E.
producedAs
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc687067fc81909da2d78fda0cdcfb |
completed | April 1, 2026, 12:36 a.m. |
Created at: March 30, 2026, 7:27 p.m.