Triple
T23760675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abstraction-Création |
E587238
|
entity |
| Predicate | numberOfIssuesPublished |
P31088
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Abstraction-Création, numberOfIssuesPublished, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIssuesPublished Context triple: [Abstraction-Création, numberOfIssuesPublished, 5]
-
A.
numberOfIssues
chosen
Indicates the quantity of issues associated with a given entity or context.
-
B.
numberOfBulletinsIssued
Indicates the total count of bulletins that have been issued in the described context or time frame.
-
C.
hasRecentIssue
Indicates that an entity is associated with an issue or problem that has occurred within a recent or specified time frame.
-
D.
hasOngoingIssues
Indicates that an entity is currently experiencing unresolved or continuing problems or difficulties.
-
E.
issueNumber
Indicates the specific numeric identifier assigned to distinguish one issue from others within a series or collection.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.