Triple
T19994960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St John the Evangelist, Little Gidding |
E494168
|
entity |
| Predicate | eraOfNotableCommunity |
P138262
|
FINISHED |
| Object | 17th 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: 17th century | Statement: [Church of St John the Evangelist, Little Gidding, eraOfNotableCommunity, 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfNotableCommunity Context triple: [Church of St John the Evangelist, Little Gidding, eraOfNotableCommunity, 17th century]
-
A.
notableCommunity
Indicates that an entity is a particularly prominent or significant member of a given community.
-
B.
notableUserCommunity
Indicates that a user has a significant or distinguished presence, role, or recognition within a particular community.
-
C.
celebratedByCommunity
Indicates that an event, person, or achievement is honored, recognized, or joyfully acknowledged by a community.
-
D.
notableCityCommunity
Indicates a relationship where a city is notably associated with, recognized by, or significantly connected to a particular community.
-
E.
notableCommunityAffected
Indicates that a particular community of notable significance is directly impacted or influenced by the subject.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe306548190a6924ce3798a4d3d |
completed | April 20, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:31 p.m.