Triple
T10795428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Odemira |
E254691
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luzianes-Gare |
E744946
|
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: Luzianes-Gare | Statement: [Municipality of Odemira, contains, Luzianes-Gare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luzianes-Gare Context triple: [Municipality of Odemira, contains, Luzianes-Gare]
-
A.
Luzianes-Gare
chosen
Luzianes-Gare is a small civil parish in the municipality of Odemira, in Portugal’s Alentejo region.
-
B.
Lison station
Lison station is a railway station in Normandy, France, serving as a regional junction on the French rail network.
-
C.
Gare d’Orange
Gare d’Orange is the main railway station serving the town of Orange in southeastern France, providing regional and intercity train connections.
-
D.
Lucien-L’Allier station
Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733321dd881909dcd4224dfa9822a |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbdd32f75881908a23b685d74aef56 |
completed | April 12, 2026, 5:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.