Triple
T37576678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABC 7 Detroit |
E934839
|
entity |
| Predicate | hasLocalNewsBrand |
P182825
|
FINISHED |
| Object |
7 Action News
7 Action News is the local television news operation serving the Detroit area on ABC 7.
|
E2234862
|
NE FINISHED |
How this triple was built (3 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: 7 Action News | Statement: [ABC 7 Detroit, hasLocalNewsBrand, 7 Action News]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 7 Action News Triple: [ABC 7 Detroit, hasLocalNewsBrand, 7 Action News]
Generated description
7 Action News is the local television news operation serving the Detroit area on ABC 7.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalNewsBrand Context triple: [ABC 7 Detroit, hasLocalNewsBrand, 7 Action News]
-
A.
hasLocalNewsSection
Indicates that an entity includes or provides a dedicated section specifically for local news coverage.
-
B.
regionalNewsBrand
chosen
Indicates that one entity is a news brand whose coverage or identity is specifically associated with a particular geographic region.
-
C.
hasLocalNewsOperation
Indicates that an entity operates or maintains a news-gathering and reporting function within a specific local geographic area.
-
D.
hasLocalMediaCoverageFrom
Indicates that an entity has been reported on or featured by a specified local media outlet or source.
-
E.
hasLocalCableNewsChannel
Indicates that an entity is served by or associated with a local cable television news channel.
- F. None of above.
Provenance (6 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_69ff9d9cb4f8819083682be3c483b599 |
completed | May 9, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40a7f38ef481909688260192d87df4 |
completed | June 28, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a40a93f15e481909584730b9d6a8ca1 |
completed | June 28, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40a9c509e48190803e29dc13c1ce8d |
completed | June 28, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69ff9c38bf9c8190bbb85b32f3ae3d2e |
completed | May 9, 2026, 8:42 p.m. |
Created at: May 3, 2026, 4:17 p.m.