Triple
T28227138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Bank of the Seine, Bennecourt |
E711617
|
entity |
| Predicate | depictsMunicipality |
P173711
|
FINISHED |
| Object | Bennecourt |
—
|
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: Bennecourt | Statement: [On the Bank of the Seine, Bennecourt, depictsMunicipality, Bennecourt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsMunicipality Context triple: [On the Bank of the Seine, Bennecourt, depictsMunicipality, Bennecourt]
-
A.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
B.
depictsCounty
Indicates that something visually represents or portrays a specific county.
-
C.
isMunicipalSymbolOf
Indicates that something serves as an official municipal symbol representing a particular city or local government.
-
D.
isPartOfMunicipalityType
Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
-
E.
isMunicipalFormationOf
Indicates that one administrative unit is formally established and recognized as the municipal formation corresponding to another territorial or administrative entity.
- F. None of above. chosen
Provenance (4 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 27, 2026, 10:50 p.m.