Triple
T22014265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelsea Barracks (historic proximity) |
E543665
|
entity |
| Predicate | garrisonFor |
P28243
|
FINISHED |
| Object | Foot Guards |
—
|
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: Foot Guards | Statement: [Chelsea Barracks (historic proximity), garrisonFor, Foot Guards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foot Guards Context triple: [Chelsea Barracks (historic proximity), garrisonFor, Foot Guards]
-
A.
Foot Guards
chosen
The Foot Guards are elite infantry regiments of the British Army renowned for their ceremonial duties guarding the monarch and royal residences, as well as their role as front-line soldiers.
-
B.
Iron Shoes
Iron Shoes is a short Hellboy comic story by Mike Mignola that follows Hellboy battling a malevolent, iron-shod goblin-like creature rooted in European folklore.
-
C.
Shoe
Shoe is a satirical comic strip created by cartoonist Jeff MacNelly that centers on anthropomorphic bird characters working in a newsroom.
-
D.
Shoes
"Shoes" is a 1916 silent drama film starring Mary MacLaren that portrays the struggles of a poor young woman forced to make difficult choices to support her family.
-
E.
Bota
Bota is a small riverside settlement in the Malaysian state of Perak, situated along the Perak River.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a6bf6081909865781ea7937a1b |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.