Triple
T25253272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyramid C at Tula |
E632799
|
entity |
| Predicate | isPrincipalMonumentOf |
P145972
|
FINISHED |
| Object | Tula ceremonial center |
—
|
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: Tula ceremonial center | Statement: [Pyramid C at Tula, isPrincipalMonumentOf, Tula ceremonial center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalMonumentOf Context triple: [Pyramid C at Tula, isPrincipalMonumentOf, Tula ceremonial center]
-
A.
hasPrimaryMonument
chosen
Indicates that an entity is associated with its main or most significant monument.
-
B.
significantMonument
Indicates that something is a monument of notable historical, cultural, or symbolic importance.
-
C.
monumentSubject
Indicates that the subject serves as the monument or commemorative structure associated with another entity.
-
D.
isVotiveMonumentOf
Indicates that an object is a votive monument dedicated or offered in honor of a particular entity.
-
E.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 1:11 p.m.