Triple
T26570029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbaye Royale de Penthemont |
E666796
|
entity |
| Predicate | reestablishedInParis |
P122863
|
FINISHED |
| Object | 17th century |
—
|
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: 17th century | Statement: [Abbaye Royale de Penthemont, reestablishedInParis, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reestablishedInParis Context triple: [Abbaye Royale de Penthemont, reestablishedInParis, 17th century]
-
A.
reestablishedInYear
Indicates that an entity, previously existing and then discontinued or dissolved, was brought back into existence or operation in the specified year.
-
B.
reestablishedCountry
Indicates that an entity restored or re-founded a country that had previously ceased to exist or lost its prior status.
-
C.
reestablishedCommemorationOf
Indicates that a previously discontinued or altered commemoration has been restored or reinstated in relation to something.
-
D.
re-establishedOn
chosen
Indicates that a previously existing relationship, status, or entity was restored or brought back into effect on a specific date or time.
-
E.
wasFrenchCapitalUntil
Indicates that a place served as the capital of France up to, but not beyond, a specified time.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f614a2cb78819088724e7c3a6e77ba |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:57 a.m.