Triple
T22019773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirdi |
E543809
|
entity |
| Predicate | religiousHarmonySymbol |
P146289
|
FINISHED |
| Object | revered by people of multiple faiths |
—
|
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: revered by people of multiple faiths | Statement: [Shirdi, religiousHarmonySymbol, revered by people of multiple faiths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousHarmonySymbol Context triple: [Shirdi, religiousHarmonySymbol, revered by people of multiple faiths]
-
A.
denominationalSymbol
Indicates that something serves as a symbol or emblem representing a particular religious denomination.
-
B.
worshipSymbol
Indicates a relationship where one entity venerates, honors, or directs religious devotion toward another entity as a sacred symbol.
-
C.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
D.
religiousSymbolOnFlag
Indicates that a flag features a symbol associated with a religion as part of its design.
-
E.
religiousSignificanceSimilarTo
Indicates that two entities hold a comparable level or type of religious importance, symbolism, or sacred value within their respective traditions or contexts.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c6b5fc8190bc49ddb058f28a44 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:23 p.m.