Triple
T9078872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coëtquidan |
E217561
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Guer |
E129929
|
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: Guer | Statement: [Coëtquidan, locatedNear, Guer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guer Context triple: [Coëtquidan, locatedNear, Guer]
-
A.
Guer
chosen
Guer is a commune in the Morbihan department of Brittany in northwestern France, known for hosting France’s premier military academy, the École spéciale militaire de Saint-Cyr.
-
B.
Guerrara
Guerrara is a town in Algeria’s M’zab region, known for its traditional Mozabite architecture and oasis-based desert lifestyle.
-
C.
Güemes
Güemes is a Spanish surname most notably associated with Argentine independence leader Martín Miguel de Güemes.
-
D.
Guelwaar
Guelwaar is a 1992 Senegalese film by Ousmane Sembène that satirically explores postcolonial politics, religious tensions, and foreign aid dependency in West Africa.
-
E.
Garat
Garat is a French surname most notably borne by Dominique Joseph Garat, an 18th–19th century French journalist, philosopher, and politician.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c93ee48190842623b57e50f4cf |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe2103448190bbc09436f19c4f11 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:12 p.m.