Triple
T18350164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muret – Lherm Aerodrome |
E439644
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Muret |
—
|
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: Muret | Statement: [Muret – Lherm Aerodrome, serves, Muret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muret Context triple: [Muret – Lherm Aerodrome, serves, Muret]
-
A.
Muret
chosen
Muret is a commune in southwestern France, near Toulouse, known for its historical Battle of Muret in 1213 and its role within the Haute-Garonne department of the Occitanie region.
-
B.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
-
C.
Moreuil
Moreuil is a small commune in northern France, located in the Somme department in the Hauts-de-France region.
-
D.
Muntelier
Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
-
E.
Montgallet
Montgallet is a Paris Métro station in the 12th arrondissement, serving a residential and commercial area near Rue de Reuilly.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f7700c8190ae220de870e69304 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.