Triple
T3612160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tewkesbury |
E76512
|
entity |
| Predicate | abbeyNotableFeature |
P46334
|
FINISHED |
| Object | Norman architecture |
—
|
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: Norman architecture | Statement: [Tewkesbury, abbeyNotableFeature, Norman architecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abbeyNotableFeature Context triple: [Tewkesbury, abbeyNotableFeature, Norman architecture]
-
A.
cathedralFeature
Indicates that one entity is a distinctive architectural or structural feature of a cathedral.
-
B.
abbeyStatus
Indicates the current religious, administrative, or functional status assigned to an abbey.
-
C.
notableLocationFeature
chosen
Indicates that a location is characterized or distinguished by a particular notable physical or contextual feature.
-
D.
parishChurchFeatures
Indicates that a parish church possesses or includes specific architectural, artistic, or functional features.
-
E.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation 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_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. |
Created at: March 8, 2026, 3:23 p.m.