Triple
T5209865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinandega, Nicaragua |
E117604
|
entity |
| Predicate | distanceToManagua_km |
P53357
|
FINISHED |
| Object | 130 |
—
|
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: 130 | Statement: [Chinandega, Nicaragua, distanceToManagua_km, 130]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToManagua_km Context triple: [Chinandega, Nicaragua, distanceToManagua_km, 130]
-
A.
distanceFromManagua
chosen
Indicates the spatial distance between a given entity and the location of Managua.
-
B.
distanceToGuatemalaCity
Indicates the spatial distance between a given location and Guatemala City.
-
C.
distanceFromMexicoCity
Indicates the measured distance between an entity’s location and Mexico City.
-
D.
distanceToPort-au-Prince
Indicates the spatial distance between a given location and the city of Port-au-Prince.
-
E.
distanceToSantiago_km
Indicates the physical distance, measured in kilometers, between a given location and Santiago.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.