Triple
T16517751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comayagua |
E401227
|
entity |
| Predicate | distanceToTegucigalpa |
P70017
|
FINISHED |
| Object | about 80 km 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: about 80 km northwest | Statement: [Comayagua, distanceToTegucigalpa, about 80 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTegucigalpa Context triple: [Comayagua, distanceToTegucigalpa, about 80 km northwest]
-
A.
distanceFromTegucigalpa
chosen
Indicates the spatial distance between a given location and the city of Tegucigalpa.
-
B.
distanceFromSanSalvador
Indicates the measured distance between an entity and the location of San Salvador.
-
C.
distanceFromManagua
Indicates the spatial distance between a given entity and the location of Managua.
-
D.
distanceToGuatemalaCity
Indicates the spatial distance between a given location and Guatemala City.
-
E.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7da2248190a540a5ef8686963d |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.