Triple
T27259991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farragut West station |
E687736
|
entity |
| Predicate | hasTransferRelationshipWith |
P191083
|
FINISHED |
| Object | Farragut North station |
—
|
NE NERFINISHED |
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: Farragut North station | Statement: [Farragut West station, hasTransferRelationshipWith, Farragut North station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransferRelationshipWith Context triple: [Farragut West station, hasTransferRelationshipWith, Farragut North station]
-
A.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
B.
transferRelatedTo
Indicates a relationship where one transfer event is associated with, derived from, or otherwise connected to another transfer event.
-
C.
transferredWith
Indicates that something was moved or conveyed from one entity to another using a specified medium, method, or accompanying item.
-
D.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
-
E.
hasTransferComplex
Indicates that an entity participates in or is associated with a transfer complex that mediates the movement of another entity (such as a substance, signal, or molecule) between locations or systems.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 27, 2026, 10:52 a.m.