Triple
T30224871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamboa Rainforest |
E768449
|
entity |
| Predicate | approxDistanceFromPanamaCity |
P86493
|
FINISHED |
| Object | about 30 kilometers |
—
|
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 30 kilometers | Statement: [Gamboa Rainforest, approxDistanceFromPanamaCity, about 30 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceFromPanamaCity Context triple: [Gamboa Rainforest, approxDistanceFromPanamaCity, about 30 kilometers]
-
A.
distanceToPanamaCity
chosen
Indicates the spatial distance between a given location or object and Panama City.
-
B.
travelTimeFromPanamaCity
Indicates the amount of time required to travel from Panama City to another specified location.
-
C.
distanceFromSantoDomingo
Indicates the spatial distance between a given entity and the location of Santo Domingo.
-
D.
distanceFromCentralAmerica
Indicates the measured spatial distance between a given entity and the region of Central America.
-
E.
distanceFromCaribbeanCoast
Indicates the measured distance between a location and the coastline of the Caribbean Sea.
- 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_69f2248108208190be60bf1af343ce70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: April 29, 2026, 7:35 p.m.