Triple
T3610294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talen Energy Stadium |
E76468
|
entity |
| Predicate | sponsor |
P67
|
FINISHED |
| Object | Talen Energy |
E195145
|
NE 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: Talen Energy | Statement: [Talen Energy Stadium, sponsor, Talen Energy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talen Energy Context triple: [Talen Energy Stadium, sponsor, Talen Energy]
-
A.
Helion Energy
Helion Energy is a private American nuclear fusion company focused on developing commercial fusion power technology as a clean, scalable energy source.
-
B.
Motiva Enterprises
Motiva Enterprises is a U.S.-based oil refining and marketing company best known for operating one of the largest refineries in North America.
-
C.
DG Energy
DG Energy is the European Commission department responsible for developing and implementing EU energy policy, including security of supply, sustainability, and the internal energy market.
-
D.
Vistra Corp
chosen
Vistra Corp is a large U.S. integrated retail electricity and power generation company.
-
E.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22b824c8190a85b36185d4957bb |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b433102b1c8190bf2b872c227d041a |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.