Triple
T7186712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salt Cathedral of Zipaquirá |
E167589
|
entity |
| Predicate | numberOfStationsOfTheCross |
P75896
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [Salt Cathedral of Zipaquirá, numberOfStationsOfTheCross, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStationsOfTheCross Context triple: [Salt Cathedral of Zipaquirá, numberOfStationsOfTheCross, 14]
-
A.
numberInStationsOfTheCross
Indicates the specific ordinal position that an event or scene occupies within the sequence of the Stations of the Cross.
-
B.
numberOfSaints
Indicates the numerical count of saints associated with a given entity or context.
-
C.
thirteenthStation
Indicates the relationship in which an entity is identified as the thirteenth station or stop in an ordered sequence of stations.
-
D.
twelfthStation
Indicates the relationship of being the twelfth station or step in a sequential series, often within a structured ritual or ordered set of events.
-
E.
seventhStation
Indicates that one entity is the seventh stop, stage, or position in an ordered sequence of stations relative to another.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.