Triple
T20991994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield |
E517047
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Seat Sandal |
—
|
NE NERFINISHED |
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: Seat Sandal | Statement: [Fairfield, connectedTo, Seat Sandal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seat Sandal Context triple: [Fairfield, connectedTo, Seat Sandal]
-
A.
Seat Sandal
chosen
Seat Sandal is a prominent fell in England’s Lake District, rising between Grisedale and Dunmail Raise and popular with hikers for its sweeping views of the surrounding Eastern Fells.
-
B.
SS-4 Sandal
SS-4 Sandal is the NATO reporting name for the Soviet R-12 Dvina, a medium-range ballistic missile that played a central role in Cold War nuclear arsenals, notably during the Cuban Missile Crisis.
-
C.
Sandal Magna
Sandal Magna is a historic area and former village in West Yorkshire, England, best known for encompassing the site of medieval Sandal Castle near Wakefield.
-
D.
Bota
Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
-
E.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.