Triple
T2791569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Gerbier de Jonc |
E61939
|
entity |
| Predicate | hasOfficialSourceMonument |
P43623
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Mont Gerbier de Jonc, hasOfficialSourceMonument, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialSourceMonument Context triple: [Mont Gerbier de Jonc, hasOfficialSourceMonument, true]
-
A.
hasInitialPointMonument
Indicates that a monument serves as the designated initial or starting point for a referenced spatial feature or boundary.
-
B.
monumentState
Indicates that a monument is located within, or officially associated with, a particular state or state-level administrative region.
-
C.
hasNumberOfMonuments
Indicates the specific count of monuments associated with or present in a given entity.
-
D.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
E.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
- F. None of above. chosen
Provenance (4 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdeea881481908d759c72798a50fb |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd025c948190a97dd961a9592bac |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdee94c2081908e5075e87e70780a |
completed | March 7, 2026, 8:16 a.m. |
Created at: March 6, 2026, 9:58 p.m.