Triple
T742553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stations of the Cross |
E15273
|
entity |
| Predicate | secondStation |
P18879
|
FINISHED |
| Object | Jesus takes up his cross |
—
|
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 takes up his cross | Statement: [Stations of the Cross, secondStation, Jesus takes up his cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondStation Context triple: [Stations of the Cross, secondStation, Jesus takes up his cross]
-
A.
secondaryHub
Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
-
B.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
C.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
D.
secondPhase
Indicates that an entity is in, or has progressed to, the second phase or stage of a multi-phase process or sequence.
-
E.
secondTier
Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
- 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_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. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.