Triple
T1095158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A View from the Bridge |
E24254
|
entity |
| Predicate | settingCommunity |
P8617
|
FINISHED |
| Object | Italian-American community |
—
|
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: Italian-American community | Statement: [A View from the Bridge, settingCommunity, Italian-American community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingCommunity Context triple: [A View from the Bridge, settingCommunity, Italian-American community]
-
A.
community
Indicates a relationship where individuals or groups are connected by shared location, interests, or identity, forming a collective social unit.
-
B.
includesCommunity
chosen
Indicates that one entity encompasses, contains, or has within it a particular community as part of its scope or composition.
-
C.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
D.
connectsCommunity
Indicates a relationship where an entity links or brings together members or groups within a community, fostering interaction or cohesion among them.
-
E.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.