Triple
T38016284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCN |
E948505
|
entity |
| Predicate | firstTelevisionStationIn |
P123512
|
FINISHED |
| Object | New South Wales |
E841
|
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: New South Wales | Statement: [TCN, firstTelevisionStationIn, New South Wales]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTelevisionStationIn Context triple: [TCN, firstTelevisionStationIn, New South Wales]
-
A.
firstTelevisionNetwork
Indicates that one entity is the earliest or original television network associated with another entity (such as a person, show, or organization).
-
B.
firstTelevisionStationInMarket
chosen
Indicates that the subject television station is the earliest or original station to begin operating within a specified broadcast market.
-
C.
firstTelevisionBroadcast
Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
-
D.
firstTelevisionProgram
Indicates that the subject entity is the earliest or initial television program associated with the object entity (such as a person, channel, or series).
-
E.
beganTelevisionBroadcasting
Indicates that an entity started transmitting television broadcasts at a particular time or during a specific period.
- F. None of above.
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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41852d643c8190a7b5b8ff79a8fa3a |
completed | June 28, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.