Triple
T20171176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Nanak Sikh Temple |
E491960
|
entity |
| Predicate | footwearPolicy |
P88732
|
FINISHED |
| Object | Shoes removed before entering prayer hall |
—
|
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: Shoes removed before entering prayer hall | Statement: [Guru Nanak Sikh Temple, footwearPolicy, Shoes removed before entering prayer hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: footwearPolicy Context triple: [Guru Nanak Sikh Temple, footwearPolicy, Shoes removed before entering prayer hall]
-
A.
wearRegulation
Indicates that an entity is subject to and follows specific rules or standards governing what it wears.
-
B.
footwearCategory
Indicates the classification of an item based on the type or category of footwear it belongs to.
-
C.
requiresShoesOff
chosen
Indicates that one entity mandates another to remove their shoes, typically as a condition for entry or participation.
-
D.
traditionalFootwear
Indicates that the relationship involves footwear that is characteristic of, or historically associated with, a particular culture, region, or tradition.
-
E.
shoeLine
Indicates a relationship where a shoe is part of, or belongs to, a particular product line or collection of shoes.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66848ae3c8190aa5fde66da35a89a |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.