Triple
T38491902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | reservas ecológicas de Ecuador |
E918073
|
entity |
| Predicate | ubicaciónGeneral |
P47308
|
FINISHED |
| Object | región Costa de Ecuador |
—
|
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: región Costa de Ecuador | Statement: [reservas ecológicas de Ecuador, ubicaciónGeneral, región Costa de Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ubicaciónGeneral Context triple: [reservas ecológicas de Ecuador, ubicaciónGeneral, región Costa de Ecuador]
-
A.
generalateLocation
Indicates the location where a generalate (central administrative headquarters of a religious or similar organization) is situated.
-
B.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
-
C.
cityLocation
Indicates that a city is geographically situated within or associated with a specific larger area or place.
-
D.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
-
E.
subjectLocation
chosen
Indicates that one entity is located at, in, or near the place or position specified by another entity.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.