Triple
T13842293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longperrier |
E332689
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Longperrois |
E332689
|
NE 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: Longperrois | Statement: [Longperrier, hasDemonym, Longperrois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longperrois Context triple: [Longperrier, hasDemonym, Longperrois]
-
A.
Longueau
Longueau is a commune in northern France that forms part of the suburban area of Amiens in the Somme department.
-
B.
Longperrier
chosen
Longperrier is a small French commune located in the Île-de-France region in north-central France.
-
C.
Longuyon
Longuyon is a commune in northeastern France’s Meurthe-et-Moselle department, near the borders with Belgium and Luxembourg, known for its strategic location and historical military presence.
-
D.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
E.
Pique Longue
Pique Longue is the highest summit of the Vignemale massif in the central Pyrenees, straddling the border between France and Spain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.