Triple
T742552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stations of the Cross |
E15273
|
entity |
| Predicate | firstStation |
P17223
|
FINISHED |
| Object | Jesus is condemned to death |
—
|
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: Jesus is condemned to death | Statement: [Stations of the Cross, firstStation, Jesus is condemned to death]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstStation Context triple: [Stations of the Cross, firstStation, Jesus is condemned to death]
-
A.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
B.
startingStation
chosen
Indicates the station or location where a journey, route, or trip begins.
-
C.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
D.
stationName
Indicates the name assigned to a particular station in the relationship.
-
E.
junctionStation
Indicates that a station functions as a junction where multiple routes or lines intersect or connect.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.