Triple
T3612161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tewkesbury |
E76512
|
entity |
| Predicate | abbeyConsecrated |
P49942
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Tewkesbury, abbeyConsecrated, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbeyConsecrated Context triple: [Tewkesbury, abbeyConsecrated, 12th century]
-
A.
abbeyStatus
Indicates the current religious, administrative, or functional status assigned to an abbey.
-
B.
placeOfConsecration
Indicates the specific place where a religious or ceremonial consecration of something or someone took place.
-
C.
consecratedBy
Indicates that one entity has been formally made sacred, dedicated, or set apart for religious use through a ritual or act performed by another entity.
-
D.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
-
E.
monastery
Indicates that an entity is or functions as a monastery, typically a religious community or building where monastics live and practice.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc22e5b30819084184b730732c727 |
completed | March 8, 2026, 6:38 p.m. |
| PD | Predicate disambiguation | batch_69adb83d8b1c8190b3bddbc5dc995a87 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:23 p.m.