Triple
T1496263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manayunk/Norristown Line |
E29692
|
entity |
| Predicate | servesSuburbs |
P15843
|
FINISHED |
| Object | northwestern suburbs of Philadelphia |
—
|
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: northwestern suburbs of Philadelphia | Statement: [Manayunk/Norristown Line, servesSuburbs, northwestern suburbs of Philadelphia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesSuburbs Context triple: [Manayunk/Norristown Line, servesSuburbs, northwestern suburbs of Philadelphia]
-
A.
isResidentialSuburbOf
Indicates that one area is a residential suburb that is part of or lies within the urban region of another area.
-
B.
hasMajorSuburb
Indicates that a larger urban area includes or is associated with a specific major suburb within its boundaries or sphere.
-
C.
hasSuburbanAreas
chosen
Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
-
D.
servesPrefecture
Indicates that an entity (such as an organization, facility, or service) provides service or coverage to a specified prefecture.
-
E.
hasSuburbanSection
Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ec70c48190a94f6e1002848eae |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.