Triple
T8377756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Principia (Chesters Roman Fort) |
E197616
|
entity |
| Predicate | onSiteInterpretation |
P7849
|
FINISHED |
| Object | information panels for visitors |
—
|
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: information panels for visitors | Statement: [Principia (Chesters Roman Fort), onSiteInterpretation, information panels for visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onSiteInterpretation Context triple: [Principia (Chesters Roman Fort), onSiteInterpretation, information panels for visitors]
-
A.
viewOnInterpretation
Indicates a relationship where one entity expresses or embodies a particular perspective, opinion, or stance on a given interpretation of something.
-
B.
containsInterpretationOf
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
C.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
D.
isSiteOf
chosen
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
E.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c229708190b813f5e7e44e10d4 |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.