Triple
T11793072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Lozère |
E280434
|
entity |
| Predicate | nearSettlement |
P3883
|
FINISHED |
| Object | Florac |
E275523
|
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: Florac | Statement: [Mont Lozère, nearSettlement, Florac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Florac Context triple: [Mont Lozère, nearSettlement, Florac]
-
A.
Florac
chosen
Florac is a small historic town in southern France that serves as a gateway to the Cévennes National Park and the surrounding mountainous countryside.
-
B.
Florenc
Florenc is a major interchange station on the Prague Metro, serving as a key hub connecting multiple lines and the nearby central bus terminal.
-
C.
Raguil
Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
-
D.
Marcali
Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
-
E.
Galarza
Galarza is a Spanish-language surname borne by various notable figures, including activists, scholars, and public personalities.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f09115c66c8190b0a3e775bdf575c1 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:42 p.m.