Triple
T30253508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganjali Khan Complex |
E769272
|
entity |
| Predicate | containsPublicBath |
P68523
|
FINISHED |
| Object | hammam |
—
|
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: hammam | Statement: [Ganjali Khan Complex, containsPublicBath, hammam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPublicBath Context triple: [Ganjali Khan Complex, containsPublicBath, hammam]
-
A.
hasNumberOfPublicBathhouses
Indicates the quantity of public bathhouses associated with a given entity.
-
B.
hasBathhouse
chosen
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
C.
hasAblutionFacilities
Indicates that an entity provides or is equipped with facilities for performing ablution or ritual washing.
-
D.
typeOfBathingSite
Indicates the specific kind or category of bathing site associated with a given location or facility.
-
E.
typicalBathType
Indicates the usual or most common type of bath associated with an entity, such as a property, room, or accommodation.
- 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_69f224831dc08190b2e569b987264057 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 29, 2026, 7:40 p.m.