Triple
T30723401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Government of Extremadura |
E782210
|
entity |
| Predicate | sharesBorderingJurisdictionWith |
P91381
|
FINISHED |
| Object | President of the Junta of Andalusia |
—
|
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: President of the Junta of Andalusia | Statement: [President of the Government of Extremadura, sharesBorderingJurisdictionWith, President of the Junta of Andalusia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesBorderingJurisdictionWith Context triple: [President of the Government of Extremadura, sharesBorderingJurisdictionWith, President of the Junta of Andalusia]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
bordersJurisdiction
Indicates that one jurisdiction shares a boundary or border with another jurisdiction.
-
C.
hasAdjacentJurisdiction
chosen
Indicates that one jurisdiction directly borders or is immediately next to another jurisdiction.
-
D.
crossesJurisdictions
Indicates that an action, process, or entity extends beyond a single legal or administrative authority and involves multiple jurisdictions.
-
E.
countyBorder
Indicates that two counties share a common boundary or border with each other.
- 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_69f224ad9f9c81908e02a79ae0001137 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
Created at: April 29, 2026, 8:36 p.m.