Triple
T34765275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ine of Wessex |
E1002192
|
entity |
| Predicate | lawCodePreservation |
P181820
|
FINISHED |
| Object | partly preserved in the Textus Roffensis |
—
|
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: partly preserved in the Textus Roffensis | Statement: [Ine of Wessex, lawCodePreservation, partly preserved in the Textus Roffensis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawCodePreservation Context triple: [Ine of Wessex, lawCodePreservation, partly preserved in the Textus Roffensis]
-
A.
lawCollection
Indicates a relationship in which a set of legal rules, statutes, or regulations is grouped or organized together as a collection.
-
B.
legalHistory
Indicates that there exists a record of past legal actions, cases, or statuses associated with an entity.
-
C.
lawLibrary
Indicates a relationship where a location or resource functions as a library specifically dedicated to legal materials, services, or research.
-
D.
legalReformer
Indicates that an entity works to change, improve, or modernize laws or legal systems.
-
E.
historicalLaw
Indicates that the referenced law or legal provision existed and was in effect during a past historical period, rather than being current.
- F. None of above. chosen
Provenance (4 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7824dc3f0819092a5102895b4a478 |
completed | May 3, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f7817c79e081908e685c48165e086b |
completed | May 3, 2026, 5:10 p.m. |
Created at: May 3, 2026, 3:59 p.m.