Triple
T31434721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Pípila |
E801892
|
entity |
| Predicate | placeOfMonument |
P185963
|
FINISHED |
| Object | Guanajuato City, Guanajuato, Mexico |
—
|
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: Guanajuato City, Guanajuato, Mexico | Statement: [El Pípila, placeOfMonument, Guanajuato City, Guanajuato, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfMonument Context triple: [El Pípila, placeOfMonument, Guanajuato City, Guanajuato, Mexico]
-
A.
heritageAttraction
Indicates that something is recognized or designated as a heritage-related attraction, typically of cultural, historical, or natural significance.
-
B.
builtMonument
Indicates that one entity constructed or created a monument in honor of, or related to, another entity.
-
C.
otherMonuments
Indicates that there exists a relationship between an entity and additional monuments that are associated with or related to it in some relevant way.
-
D.
isPublicMonument
Indicates that something is officially designated, accessible, and recognized as a monument in a public space.
-
E.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7c83f5960819089610ed39c839678 |
completed | May 3, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
| PDg | Predicate description generation | batch_69f7c776b4088190bef550c869da530d |
completed | May 3, 2026, 10:08 p.m. |
Created at: April 30, 2026, 9 p.m.