Triple
T26484170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Cities area |
E664774
|
entity |
| Predicate | isTreatedAs |
P4529
|
FINISHED |
| Object | single social hub |
—
|
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: single social hub | Statement: [Twin Cities area, isTreatedAs, single social hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTreatedAs Context triple: [Twin Cities area, isTreatedAs, single social hub]
-
A.
treatsAsProperty
Indicates that one entity regards or handles another entity as a property or attribute rather than as a distinct, independent object.
-
B.
treatsAsSubject
Indicates that one entity regards, handles, or processes another entity in the role or capacity of a subject (e.g., topic, focus, or primary object of consideration).
-
C.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
-
D.
treatsAsSet
Indicates that one entity regards or handles another entity as a set, ignoring order and treating elements collectively rather than individually.
-
E.
treatsOutcomeAs
Indicates that one entity regards, handles, or interprets another entity specifically as an outcome or result of some process or situation.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612fd2bdc8190b5f8bcd31b57186f |
completed | May 2, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 12:29 a.m.