Triple
T33030198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abbey of Gellone |
E845142
|
entity |
| Predicate | nearLandscapeFeature |
P61362
|
FINISHED |
| Object | Hérault gorges |
—
|
NE NERFINISHED |
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: Hérault gorges | Statement: [Abbey of Gellone, nearLandscapeFeature, Hérault gorges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearLandscapeFeature Context triple: [Abbey of Gellone, nearLandscapeFeature, Hérault gorges]
-
A.
nearbyFeature
Indicates that one entity is located close to or in the immediate vicinity of another entity.
-
B.
nearbyUse
Indicates that one entity uses or operates another entity that is located nearby or in close physical proximity.
-
C.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
-
D.
nearbyNotableObject
Indicates that one entity is a notable or significant object located close to another entity in space.
-
E.
nearbyTo
chosen
Indicates that one entity is located close in distance or position to another entity.
- F. None of above.
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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.