Triple
T30123587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amesbury Abbey (country house) |
E765624
|
entity |
| Predicate | hasSiteHistory |
P1098
|
FINISHED |
| Object | site of former medieval priory |
—
|
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: site of former medieval priory | Statement: [Amesbury Abbey (country house), hasSiteHistory, site of former medieval priory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiteHistory Context triple: [Amesbury Abbey (country house), hasSiteHistory, site of former medieval priory]
-
A.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
B.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
-
C.
hasHistoricSite
chosen
Indicates that an entity possesses, contains, or is associated with a place recognized for its historical significance.
-
D.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
E.
hasHistoryNote
Indicates that there is an associated historical note or record describing past events, changes, or context related to the subject.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 7:13 p.m.