Triple
T5484161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiltepe Peninsula volcanoes |
E123537
|
entity |
| Predicate | distanceToManagua |
P53357
|
FINISHED |
| Object | approximately 15 kilometres northwest |
—
|
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: approximately 15 kilometres northwest | Statement: [Chiltepe Peninsula volcanoes, distanceToManagua, approximately 15 kilometres northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToManagua Context triple: [Chiltepe Peninsula volcanoes, distanceToManagua, approximately 15 kilometres northwest]
-
A.
distanceFromManagua
chosen
Indicates the spatial distance between a given entity and the location of Managua.
-
B.
directionFromManagua
Indicates the cardinal or relative compass direction of one place or object as measured outward from Managua.
-
C.
distanceToGuatemalaCity
Indicates the spatial distance between a given location and Guatemala City.
-
D.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
-
E.
distanceToPort-au-Prince
Indicates the spatial distance between a given location and the city of Port-au-Prince.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd93e5d0f08190a6cc9fc408b7c5bb |
completed | March 20, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69bd91a73b148190a865243536a4fe76 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:10 p.m.