Triple
T11705709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnington Castle |
E278230
|
entity |
| Predicate | currentRemains |
P76369
|
FINISHED |
| Object | gatehouse |
—
|
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: gatehouse | Statement: [Donnington Castle, currentRemains, gatehouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentRemains Context triple: [Donnington Castle, currentRemains, gatehouse]
-
A.
remainedIn
Indicates that an entity stayed within or continued to be located in a particular place or state for a period of time.
-
B.
hasRemainsOf
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
C.
visibleRemains
Indicates that some physical remnants of an entity or event can still be seen or visually detected.
-
D.
presentDayRemains
chosen
Indicates that something from the past still exists or has surviving traces in the present day.
-
E.
currentOrdinary
Indicates that an entity currently holds or is in the state of an ordinary (non-special or non-exceptional) status or role.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.