Triple
T820077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuvalu |
E17732
|
entity |
| Predicate | internetTLD |
P248
|
FINISHED |
| Object |
.tv
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
|
E98366
|
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: .tv | Statement: [Tuvalu, internetTLD, .tv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: .tv Context triple: [Tuvalu, internetTLD, .tv]
-
A.
TVF
TVF is the ICAO airline designator used for Transavia France, a French low-cost carrier.
-
B.
YouTube TV
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
-
C.
BT TV
BT TV is a UK-based subscription television service from BT Group that offers live channels, on-demand content, and streaming apps via broadband.
-
D.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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: .tv Triple: [Tuvalu, internetTLD, .tv]
Generated description
.tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: .tv Target entity description: .tv is the country-code top-level domain originally assigned to Tuvalu that has become popular worldwide for websites related to television and video content.
-
A.
TVF
TVF is the ICAO airline designator used for Transavia France, a French low-cost carrier.
-
B.
YouTube TV
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
-
C.
BT TV
BT TV is a UK-based subscription television service from BT Group that offers live channels, on-demand content, and streaming apps via broadband.
-
D.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8f639081909690d1ef4c98680e |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a781f5536c81908175d58b6b75adba |
completed | March 4, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7860e656c8190a08a9999662ba1f1 |
completed | March 4, 2026, 1:08 a.m. |
Created at: March 1, 2026, 7:38 p.m.