Triple
T11973007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papagou |
E284966
|
entity |
| Predicate | mergerEffectiveFrom |
P176
|
FINISHED |
| Object | 2011 local government reform |
—
|
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: 2011 local government reform | Statement: [Papagou, mergerEffectiveFrom, 2011 local government reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mergerEffectiveFrom Context triple: [Papagou, mergerEffectiveFrom, 2011 local government reform]
-
A.
timeOfMergerOrAcquisition
Indicates the specific point in time when a merger or acquisition event occurs between entities.
-
B.
mergerYear
chosen
Indicates the year in which two or more entities formally merged into a single entity.
-
C.
consolidationDate
Indicates the date on which multiple entities, records, or accounts are formally combined into a single consolidated whole.
-
D.
mergerResultedIn
Indicates that a merger between entities led to the creation, change, or outcome represented by the related entity or state.
-
E.
mergerType
Indicates the specific kind or category of merger relationship that exists between the involved entities.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:46 p.m.