Triple
T27342461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masjid Kubah Emas Dian Al-Mahri |
E684142
|
entity |
| Predicate | hasAblutionArea |
P86197
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Masjid Kubah Emas Dian Al-Mahri, hasAblutionArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAblutionArea Context triple: [Masjid Kubah Emas Dian Al-Mahri, hasAblutionArea, yes]
-
A.
hasAblutionFacilities
chosen
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
B.
requiresAblution
Indicates that performing the referenced action or participating in the referenced state or event is contingent upon first completing a ritual washing or purification (ablution).
-
C.
hasCleaningFacility
Indicates that an entity provides or is equipped with a facility or service for cleaning.
-
D.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
E.
typeOfBathingSite
Indicates the specific kind or category of bathing site associated with a given location or facility.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62b9f5514819088c3a1e11c65a9af |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:43 a.m.