Triple
T26229996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Leones |
E656007
|
entity |
| Predicate | associatedWithCityProvince |
P88409
|
FINISHED |
| Object | Biscay |
—
|
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: Biscay | Statement: [Los Leones, associatedWithCityProvince, Biscay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithCityProvince Context triple: [Los Leones, associatedWithCityProvince, Biscay]
-
A.
associatedWithProvinceCapital
Indicates that an entity has a relationship or connection to the capital city of a specific province.
-
B.
hasAssociatedCity
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
C.
associatedProvinceOrState
chosen
Indicates that one entity is linked or related to a specific province or state as its relevant administrative region.
-
D.
associatedWithCityGroup
Indicates a relationship where an entity is linked or connected to a specific group or collection of cities.
-
E.
associatedCityState
Indicates a relationship where a city is linked to the state with which it is formally or contextually connected.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: April 26, 2026, 8:59 p.m.