Triple
T4131459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piazza Rusticucci area (historical) |
E85050
|
entity |
| Predicate | lostDueTo |
P20740
|
FINISHED |
| Object | modernization of papal approaches |
—
|
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: modernization of papal approaches | Statement: [Piazza Rusticucci area (historical), lostDueTo, modernization of papal approaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostDueTo Context triple: [Piazza Rusticucci area (historical), lostDueTo, modernization of papal approaches]
-
A.
endedDueTo
Indicates that an event, process, or state came to a conclusion specifically because of a particular cause or condition.
-
B.
lostTo
Indicates that one entity was defeated by another in a competition, conflict, or comparison.
-
C.
lost
chosen
Indicates that an entity no longer possesses or has been deprived of another entity it previously had.
-
D.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
-
E.
lostClaimTo
Indicates that one entity previously held a right or ownership over something but no longer retains that claim, often due to transfer, forfeiture, or invalidation.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.