Triple
T874144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rameswaram |
E18877
|
entity |
| Predicate | sacredStatus |
P21134
|
FINISHED |
| Object | one of the holiest places for Hindus |
—
|
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: one of the holiest places for Hindus | Statement: [Rameswaram, sacredStatus, one of the holiest places for Hindus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredStatus Context triple: [Rameswaram, sacredStatus, one of the holiest places for Hindus]
-
A.
sacredTo
Indicates that one entity is regarded as holy, revered, or dedicated in honor of another entity, such as a deity, person, or concept.
-
B.
sacredLanguageStatus
Indicates that a language holds a recognized sacred or liturgical status within a religious or spiritual tradition.
-
C.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
-
D.
consecratedBy
Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
-
E.
principalSacrament
Indicates that one sacrament holds primary or highest importance in relation to another or within a given religious or ritual context.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac992d8c819088800f5a713fa7a4 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:39 p.m.