Triple
T8881588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portalegre |
E211422
|
entity |
| Predicate | distanceToSpanishBorder |
P85500
|
FINISHED |
| Object | about 15–20 km |
—
|
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: about 15–20 km | Statement: [Portalegre, distanceToSpanishBorder, about 15–20 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSpanishBorder Context triple: [Portalegre, distanceToSpanishBorder, about 15–20 km]
-
A.
distanceToMexicoBorder
Indicates the measured or estimated distance between a given location or entity and the border of Mexico.
-
B.
distanceToEnglishBorder
Indicates the spatial distance between a given location and the border of England.
-
C.
distanceToCanadianBorder
Indicates the measured or estimated spatial distance between a given location and the nearest point on the Canadian national border.
-
D.
borderCityOnMexicanSide
Indicates that a city is located on the Mexican side of an international border shared with another country.
-
E.
distanceFromTijuana
Indicates the measured spatial distance between a given place or entity and the city of Tijuana.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6168e3d881908c58cf11cf5f9a0e |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2956788190a311c647b4da17a6 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5d6e54808190af4156edd4c8ffbc |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 6:53 p.m.