Triple
T19101301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wulf (name element) |
E467535
|
entity |
| Predicate | reconstructedForm |
P4143
|
FINISHED |
| Object | *wulfaz |
—
|
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: *wulfaz | Statement: [Wulf (name element), reconstructedForm, *wulfaz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructedForm Context triple: [Wulf (name element), reconstructedForm, *wulfaz]
-
A.
reconstructedFor
Indicates that something has been rebuilt, restored, or re-created for the benefit, use, or purpose of another entity.
-
B.
reconstructedAs
chosen
Indicates that one entity has been rebuilt, recreated, or inferred based on evidence, models, or partial information from another entity.
-
C.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
D.
reconstructedWith
Indicates that something has been rebuilt, restored, or reassembled using a specified method, material, or set of components.
-
E.
reconstructs
Indicates performing an action to rebuild, restore, or reassemble something from its parts, damage, or prior 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e36de7bc8190b353ed59e12e4631 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.