Triple
T1634233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Other Bets |
E35326
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Loon |
E184198
|
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: Loon | Statement: [Other Bets, includes, Loon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loon Context triple: [Other Bets, includes, Loon]
-
A.
Loon
chosen
Loon was an experimental Alphabet project that aimed to provide internet connectivity to remote and underserved regions using high-altitude balloons.
-
B.
Branta
Branta is a genus of black geese that includes species such as the barnacle goose, brant goose, and the Hawaiian nēnē.
-
C.
Sialia
Sialia is a genus of small North American thrushes commonly known as bluebirds, noted for their vibrant blue plumage and insectivorous diet.
-
D.
Sparviero
Sparviero is the Italian nickname for the Savoia-Marchetti SM.79, a World War II-era three-engined medium bomber and torpedo bomber used prominently by the Italian Air Force.
-
E.
Patos
Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a1679408190a9faa7b22c388c4b |
completed | March 5, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6099979481908e2c506323d546dd |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.