Triple
T828846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guards Division |
E17917
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Foot Guards |
E3408
|
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: Foot Guards | Statement: [Guards Division, hasComponent, Foot Guards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foot Guards Context triple: [Guards Division, hasComponent, 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.
Scarpe
The Scarpe is a river in northern France that flows through the Artois and Nord regions before joining the Scheldt.
-
C.
Voet
Voet is a Dutch surname most notably associated with the influential 17th–18th century jurist Johannes Voet.
-
D.
Waterfoot
Waterfoot is a small town in the Rossendale Valley of Lancashire, England, known historically for its textile industry and scenic Pennine surroundings.
-
E.
Boutes
Boutes is a minor figure in Greek mythology, traditionally regarded as a hero or priest associated with the Athenian royal house and the cult practices on the Acropolis.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b6f0a0819086f8789773f8251e |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:38 p.m.