Triple
T26041074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E647691
|
entity |
| Predicate | successorCore |
P177505
|
FINISHED |
| Object | Palermo |
—
|
NE NERFINISHED |
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: Palermo | Statement: [Paris, successorCore, Palermo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorCore Context triple: [Paris, successorCore, Palermo]
-
A.
successorCoreGeneration
Indicates that one generation directly follows and replaces another as its core or primary generation in a sequence or lineage.
-
B.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
C.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
D.
successorEngine
Indicates that one engine directly follows and replaces another in a sequence or version lineage.
-
E.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: April 22, 2026, 9:08 a.m.