Triple
T3218578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosque of Cristo de la Luz |
E67454
|
entity |
| Predicate | numberOfBays |
P46585
|
FINISHED |
| Object | nine |
—
|
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: nine | Statement: [Mosque of Cristo de la Luz, numberOfBays, nine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBays Context triple: [Mosque of Cristo de la Luz, numberOfBays, nine]
-
A.
hasBusBays
Indicates that a location or facility is equipped with one or more designated bus bays for buses to stop, load, or unload passengers.
-
B.
numberOfParkingSpaces
Indicates the total count of parking spaces associated with a particular entity or location.
-
C.
numberOfAisles
Indicates the total count of aisles associated with or contained within a given entity.
-
D.
numberOfGates
Indicates the quantity of gates associated with or belonging to an entity.
-
E.
numberOfBathrooms
Indicates the total count of bathrooms associated with an entity (such as a property or unit).
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0c48b481909d1bd9dc41dfa8c2 |
completed | March 8, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69ad9e0bb6c48190a0659c67d40ee37c |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:08 p.m.