Triple
T37623071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Reach |
E936123
|
entity |
| Predicate | hasNeighborhoodStructure |
P202675
|
FINISHED |
| Object | multiple neighborhoods |
—
|
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: multiple neighborhoods | Statement: [Long Reach, hasNeighborhoodStructure, multiple neighborhoods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNeighborhoodStructure Context triple: [Long Reach, hasNeighborhoodStructure, multiple neighborhoods]
-
A.
hasNeighborhoodBase
Indicates that one topological space has a specified collection of neighborhoods at each point that forms a neighborhood base for its topology.
-
B.
hasNeighborhoodCluster
Indicates that one area or location is grouped within a specific neighborhood cluster based on spatial or community-related characteristics.
-
C.
hasNeighborhoodPart
Indicates that one entity is a spatially adjacent or locally contained part of another entity, typically within its surrounding neighborhood or vicinity.
-
D.
hasNeighborhoodIdentity
Indicates that an entity possesses or is associated with a distinctive neighborhood-based character, culture, or identity.
-
E.
hasNetworkStructure
Indicates that one entity possesses, exhibits, or is organized according to a particular network-based structure defined by another entity or specification.
- F. None of above. chosen
Provenance (4 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00ab25c5b48190ad07ff508392ef56 |
completed | May 10, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_6a00a8a5cfc48190bbe97fb2bbd1b947 |
completed | May 10, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_6a00ab24c4b0819088a8bba78f20b3d3 |
completed | May 10, 2026, 3:58 p.m. |
Created at: May 3, 2026, 4:18 p.m.