Triple
T14587200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fifth National Bank |
E342346
|
entity |
| Predicate | hasPredecessorRoleIn |
P114959
|
FINISHED |
| Object | history of Fifth Third Bank |
—
|
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: history of Fifth Third Bank | Statement: [Fifth National Bank, hasPredecessorRoleIn, history of Fifth Third Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPredecessorRoleIn Context triple: [Fifth National Bank, hasPredecessorRoleIn, history of Fifth Third Bank]
-
A.
predecessorRelationship
Indicates that one entity comes before another in an ordered sequence, chain, or lineage, serving as its prior or earlier counterpart.
-
B.
predecessorInRole
Indicates that one entity previously held a particular role or position that was later occupied by another entity.
-
C.
hasPredecessorAdministrativeEntity
Indicates that one administrative entity directly preceded another in an official or organizational sequence.
-
D.
contributedToPredecessorOf
Indicates that one entity contributed to or influenced another entity that came before a specified successor in a sequence or lineage.
-
E.
hasPredecessorStructureFrom
Indicates that one structure existed or was established before another structure in a sequential or developmental order.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb421bb308190a457425429ef6aa5 |
completed | April 14, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:24 a.m.