Triple
T32619995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chicago Code |
E833894
|
entity |
| Predicate | hasTVComId |
P104521
|
FINISHED |
| Object | 77213 |
—
|
LITERAL 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: 77213 | Statement: [The Chicago Code, hasTVComId, 77213]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTVComId Context triple: [The Chicago Code, hasTVComId, 77213]
-
A.
hasTVGuideId
chosen
Indicates that an entity is associated with a specific identifier used in a TV guide system.
-
B.
hasTelevisionVersion
Indicates that one entity has a corresponding version or adaptation that is specifically produced for or presented on television.
-
C.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
D.
hasTelevisionAdaptationBroadcaster
Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
-
E.
isTelevisionShowType
Indicates that one entity is a specific type or category of television show in relation to another entity.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:06 a.m.