Triple
T22064932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Village of Foosland |
E545242
|
entity |
| Predicate | hasTightKnitCommunity |
P107505
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Village of Foosland, hasTightKnitCommunity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTightKnitCommunity Context triple: [Village of Foosland, hasTightKnitCommunity, true]
-
A.
hasCloseKnitCommunity
chosen
Indicates a relationship where a group of people are strongly interconnected, frequently interact, and provide mutual support, forming a tight social bond.
-
B.
hasSmallCommunities
Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
-
C.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
D.
hasLocalCommunities
Indicates that an entity is associated with or contains smaller, localized community groups within a specific area or region.
-
E.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12882ab3c819095b61e0a341edfdf |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.