Triple
T15264911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clara |
E364872
|
entity |
| Predicate | roadDistanceFromHavana_km |
P25682
|
FINISHED |
| Object | about 270 |
—
|
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 270 | Statement: [Santa Clara, roadDistanceFromHavana_km, about 270]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceFromHavana_km Context triple: [Santa Clara, roadDistanceFromHavana_km, about 270]
-
A.
distanceToHavana
chosen
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
-
B.
distanceToHolguin
Indicates the measured spatial distance between a given entity and the location of Holguin.
-
C.
distanceFromHolguínCity
Indicates the spatial distance separating an entity from Holguín City.
-
D.
distanceFromPortOfSpain
Indicates the measured distance between a given location and the city of Port of Spain.
-
E.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69deca8d1bd48190a4b94f29b425e335 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:14 a.m.