Triple
T20163725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffon |
E491776
|
entity |
| Predicate | sectionOfPark |
P5641
|
FINISHED |
| Object | France section |
—
|
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: France section | Statement: [Griffon, sectionOfPark, France section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectionOfPark Context triple: [Griffon, sectionOfPark, France section]
-
A.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
-
B.
locatedInParkSectionGroup
Indicates that something is situated within a specific section group of a park.
-
C.
parkSection
chosen
Indicates a relationship where a specific area or subsection belongs to, is contained within, or is designated as part of a larger park.
-
D.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
E.
inPark
Indicates that one entity is located within or inside the boundaries of a park.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66841b7d88190af3606f762d87b24 |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.