Triple
T22798030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Water High |
E564302
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | ABC1 |
—
|
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: ABC1 | Statement: [Blue Water High, originalNetwork, ABC1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABC1 Context triple: [Blue Water High, originalNetwork, ABC1]
-
A.
ABC1
chosen
ABC1 is a British television channel known for broadcasting a variety of entertainment programming, including imported American series.
-
B.
ABC2
ABC2 is a nonprofit organization dedicated to funding and accelerating the development of treatments and a cure for brain cancer.
-
C.
ABC13
ABC13 is the on-air brand of KTRK-TV, the ABC-owned local television news station serving the Houston, Texas area.
-
D.
ABC
ABC is the commonly used abbreviation for the Brazilian Academy of Sciences, a leading scientific society that promotes research and scientific development in Brazil.
-
E.
ABC
ABC is the IATA airport code for Albacete Air Base, a military airfield located near Albacete in Spain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.