Triple
T33075892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Salle University and Temple University |
E846359
|
entity |
| Predicate | citySeriesContext |
P29671
|
FINISHED |
| Object | Philadelphia Big 5 |
—
|
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: Philadelphia Big 5 | Statement: [La Salle University and Temple University, citySeriesContext, Philadelphia Big 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citySeriesContext Context triple: [La Salle University and Temple University, citySeriesContext, Philadelphia Big 5]
-
A.
citySeries
chosen
Indicates a relationship where multiple events, works, or items are organized as a series associated with a particular city.
-
B.
seriesContext
Indicates that one entity occurs within, belongs to, or is understood in relation to a broader series or sequence involving the other entity.
-
C.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
D.
cityAxis
Indicates a primary directional or structural line that organizes or defines the layout and orientation of a city.
-
E.
cityPanorama
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:25 a.m.