Triple
T27891031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zona de Monumentos Históricos (Santiago de Querétaro) |
E705354
|
entity |
| Predicate | officialName_en |
P11182
|
FINISHED |
| Object | Historic Monuments Zone of Querétaro |
—
|
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: Historic Monuments Zone of Querétaro | Statement: [Zona de Monumentos Históricos (Santiago de Querétaro), officialName_en, Historic Monuments Zone of Querétaro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialName_en Context triple: [Zona de Monumentos Históricos (Santiago de Querétaro), officialName_en, Historic Monuments Zone of Querétaro]
-
A.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
B.
hasOfficialNameInEnglish
chosen
Indicates that an entity has an officially recognized name expressed in the English language.
-
C.
officialNameGivenBy
Indicates that an official or formal name has been assigned to an entity by a specific authority or source.
-
D.
firstOfficialName
Indicates the original or primary official name formally assigned to an entity before any subsequent name changes or alternatives.
-
E.
officialNameLocal
Indicates the officially recognized name of an entity as used in the local or native language context.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 27, 2026, 6:36 p.m.