Triple
T27464488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunaudières Straight |
E693138
|
entity |
| Predicate | partiallyOn |
P169937
|
FINISHED |
| Object | public road |
—
|
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: public road | Statement: [Hunaudières Straight, partiallyOn, public road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyOn Context triple: [Hunaudières Straight, partiallyOn, public road]
-
A.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
B.
partiallyClosed
Indicates that something is not fully closed, but also not fully open, occupying an intermediate state of closure.
-
C.
partiallyEnclosed
Indicates that one entity surrounds or covers another entity to some extent, but not completely.
-
D.
partiallyReleased
Indicates that an entity has been released to some extent but not yet fully or completely released.
-
E.
partiallyHosts
Indicates that an entity provides hosting or accommodation for another entity to some extent, but not fully or exclusively.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f688d015908190ad5df37030ecf332 |
completed | May 2, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 27, 2026, 12:51 p.m.