Triple
T33471853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copilco neighborhood |
E857212
|
entity |
| Predicate | nearbyGreenArea |
P33602
|
FINISHED |
| Object | UNAM ecological reserve |
—
|
NE NERFINISHED |
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: UNAM ecological reserve | Statement: [Copilco neighborhood, nearbyGreenArea, UNAM ecological reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyGreenArea Context triple: [Copilco neighborhood, nearbyGreenArea, UNAM ecological reserve]
-
A.
hasNearbyGreenSpace
chosen
Indicates that an entity is located close to an area of green space, such as a park, garden, or natural vegetation.
-
B.
nearbyLocation
Indicates that one location is situated close to another location in physical space.
-
C.
nearbyCountryPark
Indicates that a country park is located close to or within a short distance of a given reference place or area.
-
D.
nearRetailPark
Indicates that one entity is located close to or in the immediate vicinity of a retail park.
-
E.
hasRecreationalActivityNearby
Indicates that a location has one or more recreational activities or facilities available in its nearby surroundings.
- 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_69f3497472508190b300ebd3fd402367 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: May 1, 2026, 1:37 a.m.