Triple
T17270562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passy |
E419244
|
entity |
| Predicate | annexedToParisIn |
P9430
|
FINISHED |
| Object | 1860 |
—
|
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: 1860 | Statement: [Passy, annexedToParisIn, 1860]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annexedToParisIn Context triple: [Passy, annexedToParisIn, 1860]
-
A.
annexedDuring
Indicates that one entity was formally incorporated into and brought under the control of another entity during a specified time period.
-
B.
wasFrenchCapitalUntil
Indicates that a place served as the capital of France up to, but not beyond, a specified time.
-
C.
annexedInYear
chosen
Indicates that one entity was formally annexed or incorporated into another in the specified calendar year.
-
D.
wasAnnexedInPartition
Indicates that a territory or entity was incorporated into another as a result of a formal partition of land or political division.
-
E.
locatedInMetropolitanFrance
Indicates that the subject is geographically situated within the territory of metropolitan (continental) France.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4917ec819096356ad2ed24d51d |
completed | April 19, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69e3832c3b98819091967ac7e91ba316 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:40 a.m.