Triple
T1134567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ramble (Central Park) |
E23108
|
entity |
| Predicate | hasPathNetwork |
P20893
|
FINISHED |
| Object | labyrinthine layout |
—
|
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: labyrinthine layout | Statement: [The Ramble (Central Park), hasPathNetwork, labyrinthine layout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPathNetwork Context triple: [The Ramble (Central Park), hasPathNetwork, labyrinthine layout]
-
A.
hasTrailNetwork
chosen
Indicates that an entity possesses or is associated with a system of interconnected trails or paths.
-
B.
branchNetwork
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
-
C.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
D.
routeNetworkType
Indicates the specific kind of transportation or communication network to which a route belongs (e.g., road, rail, or air).
-
E.
hasNetworkPartner
Indicates that an entity is connected to another entity through a formal or recognized network partnership relationship.
- 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bde18d208190848c189b2b8d585f |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4b52d48190bec2e7ad1cc8efc0 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.