Triple
T259243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poughkeepsie–Newburgh–Middletown metropolitan area |
E5503
|
entity |
| Predicate | includesCommunityType |
P3292
|
FINISHED |
| Object | cities |
—
|
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: cities | Statement: [Poughkeepsie–Newburgh–Middletown metropolitan area, includesCommunityType, cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCommunityType Context triple: [Poughkeepsie–Newburgh–Middletown metropolitan area, includesCommunityType, cities]
-
A.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
B.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
C.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
D.
hasSubcommunityIn
Indicates that a larger community contains or encompasses a smaller, distinct subcommunity located within it.
-
E.
usedByCommunity
Indicates that something is utilized or adopted collectively by a particular community.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25f921c2881908821ca2c03815eae |
completed | Feb. 28, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69a25b6b3ea88190bbd858999e42efae |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.