Triple
T22065846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Railroad tracks |
E545265
|
entity |
| Predicate | includesUrbanApproach |
P146480
|
FINISHED |
| Object | Pennsylvania Station approaches in New York City |
—
|
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: Pennsylvania Station approaches in New York City | Statement: [Pennsylvania Railroad tracks, includesUrbanApproach, Pennsylvania Station approaches in New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesUrbanApproach Context triple: [Pennsylvania Railroad tracks, includesUrbanApproach, Pennsylvania Station approaches in New York City]
-
A.
hasUrbanConcept
Indicates that an entity is associated with, characterized by, or incorporates an urban-related concept, idea, or design principle.
-
B.
hasUrbanDesign
Indicates that an entity possesses or is associated with a specific urban design plan, feature, or configuration.
-
C.
hasUrbanPlanning
Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
-
D.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
E.
containsUrbanForm
Indicates that one entity spatially includes or encompasses an urban form or built-up area within its extent.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12883d2108190a6127783f8f635fc |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:27 p.m.