Triple
T5020183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llwynywermod |
E112830
|
entity |
| Predicate | restorationEmphasized |
P38451
|
FINISHED |
| Object | local materials |
—
|
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: local materials | Statement: [Llwynywermod, restorationEmphasized, local materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restorationEmphasized Context triple: [Llwynywermod, restorationEmphasized, local materials]
-
A.
restorationFocus
chosen
Indicates that the primary attention or effort is directed toward repairing, renewing, or returning something to a previous or improved state.
-
B.
significantRestoration
Indicates that an entity has undergone a major or substantial restoration effort that notably improves or returns it to a previous condition.
-
C.
restored
Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
-
D.
restorationGoal
Indicates that an action or plan is intended to return something to a previous, original, or improved state or condition.
-
E.
restorationMeasure
Indicates that an action or intervention is undertaken to repair, rehabilitate, or return something to a previous or improved state.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7342c62881909acb35849da8761c |
completed | March 20, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69bd714ecfe08190b5830cfc1c74fa17 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:36 p.m.