Triple
T890581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Strasbourg |
E19228
|
entity |
| Predicate | reestablishedDate |
P9113
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [University of Strasbourg, reestablishedDate, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reestablishedDate Context triple: [University of Strasbourg, reestablishedDate, 2009]
-
A.
reestablishedInYear
chosen
Indicates that an entity, previously existing and then discontinued or dissolved, was brought back into existence or operation in the specified year.
-
B.
reaffirmedOn
Indicates that a prior decision, statement, or agreement was confirmed or validated again on a specific date or occasion.
-
C.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
D.
establishedFrom
Indicates that something was created, founded, or formed starting from a specified source, origin, or prior entity.
-
E.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad0086a081908c47c285896a1f3c |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa9372e88190b5a9db4afdc045c6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.