Triple
T31334842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainhoa |
E799140
|
entity |
| Predicate | hasMainStreetLayout |
P201692
|
FINISHED |
| Object | bastide-like linear village |
—
|
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: bastide-like linear village | Statement: [Ainhoa, hasMainStreetLayout, bastide-like linear village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainStreetLayout Context triple: [Ainhoa, hasMainStreetLayout, bastide-like linear village]
-
A.
hasMainStreet
Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
-
B.
hasStreetLayoutCenteredOn
Indicates that the spatial organization or pattern of streets in one place is arranged with a particular feature or location as its central focus or reference point.
-
C.
hasMainResidentialStreet
Indicates that an entity is associated with or served by a specific primary street used predominantly for residential purposes.
-
D.
hasCentralStreet
Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
-
E.
isMajorCommercialStreetOf
Indicates that a street serves as a primary, heavily used route for commercial activity within a specified area or locality.
- 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_69f224e3f6ac8190a13488516abca7c9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
| PDg | Predicate description generation | batch_6a00153fea20819086ff5888bf725d05 |
completed | May 10, 2026, 5:18 a.m. |
Created at: April 29, 2026, 9:16 p.m.