Triple
T38593971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Lisa municipality |
E934018
|
entity |
| Predicate | geographicalDirectionWithinHavana |
P194057
|
FINISHED |
| Object | west |
—
|
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: west | Statement: [La Lisa municipality, geographicalDirectionWithinHavana, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalDirectionWithinHavana Context triple: [La Lisa municipality, geographicalDirectionWithinHavana, west]
-
A.
distanceToHavana
Indicates the measured spatial distance between a given entity’s location and the city of Havana.
-
B.
directionFromColumbus
Indicates the compass direction in which one location lies when measured from Columbus.
-
C.
distanceFromHolguínCity
Indicates the spatial distance separating an entity from Holguín City.
-
D.
directionFromHamilton
Indicates the directional relationship of one location as measured outward starting from Hamilton.
-
E.
geographicDirectionFromMonrovia
Indicates the relative compass direction in which one place is located from Monrovia.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: May 3, 2026, 4:32 p.m.