Triple
T35919764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meurthe department |
E1038847
|
entity |
| Predicate | remainderMergedInto |
P102205
|
FINISHED |
| Object | Meurthe-et-Moselle department |
—
|
NE NERFINISHED |
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: Meurthe-et-Moselle department | Statement: [Meurthe department, remainderMergedInto, Meurthe-et-Moselle department]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainderMergedInto Context triple: [Meurthe department, remainderMergedInto, Meurthe-et-Moselle department]
-
A.
laterMergedWith
chosen
Indicates that one entity was combined into and became part of another entity at a subsequent point in time.
-
B.
someMembersMergedWith
Indicates that a subset of members from one group combined or integrated with members of another group to form a unified entity or subgroup.
-
C.
reasonForMerger
Indicates the underlying cause, motivation, or justification for why two or more entities merged.
-
D.
missionAfterMerge
Indicates that one mission occurs or is valid only after another mission has been merged or combined into it.
-
E.
demergedInto
Indicates that an entity has been split or separated into one or more distinct successor entities as a result of a demerger process.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaa9ba18819082a9b86a87e82f75 |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:07 p.m.