Triple
T7751917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First of Foot |
E175784
|
entity |
| Predicate | describesHistoricalStatus |
P28623
|
FINISHED |
| Object | oldest infantry regiment in the British Army |
—
|
LITERAL 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: oldest infantry regiment in the British Army | Statement: [First of Foot, describesHistoricalStatus, oldest infantry regiment in the British Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesHistoricalStatus Context triple: [First of Foot, describesHistoricalStatus, oldest infantry regiment in the British Army]
-
A.
historicalStatusOf
chosen
Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
-
B.
historicalRecordStatus
Indicates the status or condition of a record within a historical or archival context (e.g., active, archived, revised, or obsolete).
-
C.
historicalState
Indicates that an entity existed in a particular state or condition during a specified time in the past.
-
D.
historicalLanguageStatus
Indicates that a language had a particular official, social, or functional status during a past historical period.
-
E.
historicalType
Indicates that one entity classifies or characterizes another in terms of its role, status, or category within a historical context.
- F. None of above.
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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.