Triple
T23901606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islas Chafarinas |
E601059
|
entity |
| Predicate | distanceToMelilla |
P154014
|
FINISHED |
| Object | about 45 kilometers east of Melilla |
—
|
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 45 kilometers east of Melilla | Statement: [Islas Chafarinas, distanceToMelilla, about 45 kilometers east of Melilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMelilla Context triple: [Islas Chafarinas, distanceToMelilla, about 45 kilometers east of Melilla]
-
A.
distanceToMálaga
Indicates the spatial distance between a given entity and the location of Málaga.
-
B.
distanceFromSeville
Indicates the spatial distance separating an entity from the location of Seville.
-
C.
distanceToTaroudant_km
Indicates the physical distance, measured in kilometers, between an entity and the location Taroudant.
-
D.
distanceToGranada
Indicates the spatial distance between a given entity or location and the city of Granada.
-
E.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.