Triple
T37576657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC 7 Detroit |
E934839
|
entity |
| Predicate | brandingOfCallsign |
P189071
|
FINISHED |
| Object | WXYZ-TV |
—
|
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: WXYZ-TV | Statement: [ABC 7 Detroit, brandingOfCallsign, WXYZ-TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingOfCallsign Context triple: [ABC 7 Detroit, brandingOfCallsign, WXYZ-TV]
-
A.
inspiredCallsignOf
Indicates that one entity’s callsign was created based on, influenced by, or derived from another entity.
-
B.
callsignOrDesignation
Indicates that one entity serves as the callsign or formal designation used to identify another entity in communication or operational contexts.
-
C.
callsign
Indicates that an entity is assigned or uses a specific radio or identification callsign as its designated identifier in communication contexts.
-
D.
callsignPrefix
Indicates that one entity serves as the standardized initial portion (prefix) of another entity’s callsign used for identification in communication systems.
-
E.
formerCallSign
Indicates that one identifier was previously used as the call sign for the other entity before being changed or replaced.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.