Triple
T29077394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halton |
E735978
|
entity |
| Predicate | hasRapidlyGrowingCommunity |
P18321
|
FINISHED |
| Object | Town of Milton |
—
|
NE NERFINISHED |
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: Town of Milton | Statement: [Halton, hasRapidlyGrowingCommunity, Town of Milton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRapidlyGrowingCommunity Context triple: [Halton, hasRapidlyGrowingCommunity, Town of Milton]
-
A.
isGrowingCommunity
chosen
Indicates that a community is increasing in size, activity, or engagement over time.
-
B.
hasStrongCommunity
Indicates that an entity is associated with a highly engaged, supportive, and cohesive community.
-
C.
hasMajorCommunity
Indicates that an entity possesses a primary or significantly large community associated with it.
-
D.
hasSmallCommunities
Indicates that an entity possesses or is characterized by the presence of relatively small communities within it.
-
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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 28, 2026, 10:23 a.m.