Triple
T11613593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn FC |
E275444
|
entity |
| Predicate | predecessorFounded |
P65391
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Penn FC, predecessorFounded, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorFounded Context triple: [Penn FC, predecessorFounded, 2003]
-
A.
founderOfPredecessor
Indicates that an entity is the founder of another entity that served as a predecessor to a specified organization or institution.
-
B.
successorFoundedBy
Indicates that an entity was founded by the successor of another specified entity.
-
C.
historicalEntityPredecessor
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
D.
legalPredecessorFoundedIn
chosen
Indicates that one legal predecessor entity was founded or established in a specified time or place.
-
E.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a044a3088190b92f4674c2d0b443 |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.