Triple
T15209957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloomfield Track |
E363488
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Ayton |
E324592
|
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: Ayton | Statement: [Bloomfield Track, nearbyTown, Ayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ayton Context triple: [Bloomfield Track, nearbyTown, Ayton]
-
A.
Ayton
chosen
Ayton is a small rural village in the Scottish Borders region of southeastern Scotland.
-
B.
Tai Aiton
Tai Aiton are an ethnic community of the Tai people in Assam, India, known for their distinct language, culture, and traditions.
-
C.
Hal Bynum
Hal Bynum was an American country music songwriter best known for penning narrative-driven hits for artists like Kenny Rogers and Johnny Cash.
-
D.
Randle
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
E.
Kobe Faison
Kobe Faison is one of the children of actor and comedian Donald Faison and his former partner Lisa Askey.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076ad4ec81908d36f541fca08d72 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33f9abc8190bf8166c1fd9fcac6 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.