Triple
T2311894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawita people |
E51976
|
entity |
| Predicate | ceremonialCenterType |
P34373
|
FINISHED |
| Object | square ground |
—
|
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: square ground | Statement: [Kawita people, ceremonialCenterType, square ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonialCenterType Context triple: [Kawita people, ceremonialCenterType, square ground]
-
A.
ritualStructure
Indicates a relationship where an entity is a structure or built feature specifically used for performing rituals or ceremonial practices.
-
B.
templeType
Indicates the specific category or classification of a temple in terms of its form, function, or religious/architectural style.
-
C.
religiousSiteType
chosen
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
D.
ceremonyType
Indicates the specific kind or category of ceremony associated with an event or relationship.
-
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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.