Triple
T7319418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ávila |
E168499
|
entity |
| Predicate | directionFromMadrid |
P76277
|
FINISHED |
| Object | west of Madrid |
—
|
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: west of Madrid | Statement: [Ávila, directionFromMadrid, west of Madrid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromMadrid Context triple: [Ávila, directionFromMadrid, west of Madrid]
-
A.
distanceToMadrid
Indicates the physical distance between a given location or entity and the city of Madrid.
-
B.
directionFromParis
Indicates the cardinal or relative compass direction of an entity as measured from Paris toward that entity.
-
C.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
D.
directionFromAmsterdam
Indicates the cardinal or relative compass direction of an entity’s location as measured from Amsterdam.
-
E.
directionFromBogotá
Indicates the cardinal or relative compass direction in which one place or object lies when measured from Bogotá.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef1a7a3c81909504eb711056f302 |
completed | March 27, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69c6e7705f4881909793071dee50c557 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 3:02 p.m.