Triple
T14859336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare |
E349447
|
entity |
| Predicate | hasNameInLuxembourgish |
P45990
|
FINISHED |
| Object | Garequartier |
E349447
|
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: Garequartier | Statement: [Gare, hasNameInLuxembourgish, Garequartier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garequartier Context triple: [Gare, hasNameInLuxembourgish, Garequartier]
-
A.
Gare
chosen
Gare is a central district of Luxembourg City known for its main railway station and busy commercial streets.
-
B.
Roquetes station
Roquetes station is an underground stop on Barcelona’s Metro network located in the Nou Barris district.
-
C.
Viarmes station
Viarmes station is a railway stop in the commune of Viarmes in northern France, serving local passenger trains on the regional network.
-
D.
Coquelles Terminal
Coquelles Terminal is the French Eurotunnel terminal near Calais that serves as the departure and arrival point for Le Shuttle rail services between France and the United Kingdom.
-
E.
Luzianes-Gare
Luzianes-Gare is a small civil parish in the municipality of Odemira, in Portugal’s Alentejo 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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44598e48190b759a05ed2d9ecaf |
completed | April 14, 2026, 11:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe650a43bc8190b836fe690d2a3c71 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:54 a.m.