Triple
T22838070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennis Channel |
E565999
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object |
T2
T2 is a secondary television network associated with Tennis Channel that offers additional tennis and racquet-sports programming.
|
E1556505
|
NE FINISHED |
How this triple was built (4 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: T2 | Statement: [Tennis Channel, hasSisterChannel, T2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T2 Context triple: [Tennis Channel, hasSisterChannel, T2]
-
A.
T2
T2 is a TrawsCymru long-distance bus route in Wales providing inter-town public transport services.
-
B.
T2
T2 is San Francisco International Airport’s Terminal 2, a modern passenger terminal serving domestic flights with updated amenities and design.
-
C.
T2
T2 is a passenger terminal at Berlin Brandenburg Airport that handles check-in, security, and boarding operations for departing and arriving travelers.
-
D.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
E.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: T2 Triple: [Tennis Channel, hasSisterChannel, T2]
Generated description
T2 is a secondary television network associated with Tennis Channel that offers additional tennis and racquet-sports programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T2 Target entity description: T2 is a secondary television network associated with Tennis Channel that offers additional tennis and racquet-sports programming.
-
A.
T2
T2 is a tram line in the Lyon public transport network that connects key districts and suburbs of the city.
-
B.
T2
T2 is a light rail/tram line in the Île-de-France public transport network serving the western suburbs of Paris.
-
C.
T2
T2 is one of the tram lines of the Trambaix light rail network serving the Barcelona metropolitan area.
-
D.
T2
T2 is a Sydney Trains suburban rail service designation used for the Inner West & Leppington Line in the Sydney metropolitan network.
-
E.
T2
T2 is the second passenger terminal at Chicago O'Hare International Airport, serving various domestic and regional airline operations.
- F. None of above. chosen
Provenance (5 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b3aae48190bb2785a223d135a2 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:35 p.m.