Triple
T36199023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilarán |
E1047206
|
entity |
| Predicate | distanceToMonteverde |
P204786
|
FINISHED |
| Object | approximately 60 kilometres by road |
—
|
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 60 kilometres by road | Statement: [Tilarán, distanceToMonteverde, approximately 60 kilometres by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMonteverde Context triple: [Tilarán, distanceToMonteverde, approximately 60 kilometres by road]
-
A.
distanceFromMedellín
Indicates the measured spatial distance between an entity and the city of Medellín.
-
B.
distanceToSantaMarta
Indicates the measured spatial distance between a given entity’s location and the location of Santa Marta.
-
C.
distanceFromCuenca
Indicates the measured spatial distance between a given entity or location and the city of Cuenca.
-
D.
distanceFromTegucigalpa
Indicates the spatial distance between a given location and the city of Tegucigalpa.
-
E.
distanceToMérida
Indicates the spatial distance between a given entity and the location Mérida.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.