Triple
T34658937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barquinha |
E890053
|
entity |
| Predicate | hasRitualSpaceType |
P177140
|
FINISHED |
| Object | temple |
—
|
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: temple | Statement: [Barquinha, hasRitualSpaceType, temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRitualSpaceType Context triple: [Barquinha, hasRitualSpaceType, temple]
-
A.
hasRitualSpace
Indicates that an entity possesses or is associated with a designated space used for ritual or ceremonial activities.
-
B.
hasRitualType
Indicates that an entity is associated with, or classified by, a particular type or category of ritual.
-
C.
hasRitualSpecialty
Indicates that an entity has a particular area of focus or expertise within ritual practices or ceremonies.
-
D.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
E.
hasRitualSetting
chosen
Indicates that an entity is associated with a specific ritual context or environment in which it is performed, observed, or situated.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: May 1, 2026, 2:04 a.m.