Triple
T24027971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiwah ceremony |
E595017
|
entity |
| Predicate | mortuaryType |
P154570
|
FINISHED |
| Object | secondary funeral |
—
|
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: secondary funeral | Statement: [Tiwah ceremony, mortuaryType, secondary funeral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mortuaryType Context triple: [Tiwah ceremony, mortuaryType, secondary funeral]
-
A.
cemeteryType
Indicates the specific kind or classification of a cemetery associated with an entity.
-
B.
hasCrematorium
Indicates that one entity possesses, contains, or is equipped with a crematorium facility.
-
C.
majorMortuaryComplex
Indicates a significant funerary or burial-related architectural complex that serves as a primary site for mortuary activities.
-
D.
hasTypeOfBurial
Indicates the specific kind or method of burial associated with an entity.
-
E.
mummificationStyle
Indicates the specific method or technique used to mummify an 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76d393c8190ae9b1b9e43fe0efa |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:54 p.m.