Triple
T13411827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meurthe River |
E320107
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Pont-à-Mousson |
E524376
|
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: Pont-à-Mousson | Statement: [Meurthe River, flowsThrough, Pont-à-Mousson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pont-à-Mousson Context triple: [Meurthe River, flowsThrough, Pont-à-Mousson]
-
A.
Pont-à-Mousson
chosen
Pont-à-Mousson is a historic town in northeastern France on the Moselle River, known for its medieval heritage and former university.
-
B.
Maubeuge
Maubeuge is a fortified industrial town in northern France near the Belgian border, historically significant for its strategic military position.
-
C.
Berg-sur-Moselle
Berg-sur-Moselle is a small French commune in the Moselle department of northeastern France, near the border with Luxembourg.
-
D.
Thionville
Thionville is a town in northeastern France near the Luxembourg border, known historically as a strategic industrial and military center in the Moselle region.
-
E.
Sarrebourg
Sarrebourg is a small historic town in northeastern France known for its cultural heritage and location in the Moselle department of the Grand Est region.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6419a3c8190bfaeab65f3909474 |
completed | May 7, 2026, 3:56 p.m. |
Created at: April 9, 2026, 9:35 p.m.