Triple
T20682851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour César |
E508337
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Tour César (French) |
E1014826
|
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: Tour César (French) | Statement: [Tour César, hasNameInLanguage, Tour César (French)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tour César (French) Context triple: [Tour César, hasNameInLanguage, Tour César (French)]
-
A.
Tour César
chosen
Tour César is a medieval stone keep and iconic defensive tower overlooking the fortified town of Provins in France.
-
B.
Tour César
Tour César is a historic medieval tower that forms part of the former royal palace complex of the Conciergerie on the Île de la Cité in Paris.
-
C.
Tour César
Tour César is a historic tower and notable architectural landmark located in the town of Saverne in northeastern France.
-
D.
Cela
Cela is a municipality located in Angola's Cuanza Sul Province, known primarily for its agricultural activities and rural communities.
-
E.
Cela
Cela is a Spanish surname most notably borne by Nobel Prize–winning writer Camilo José Cela.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6f0ca88190972ddf687eabcf4d |
completed | May 16, 2026, 8:02 p.m. |
Created at: April 16, 2026, 11:45 a.m.