Triple
T7178258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farragut North |
E167373
|
entity |
| Predicate | hasStationCodePrefix |
P75846
|
FINISHED |
| Object | A |
—
|
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: A | Statement: [Farragut North, hasStationCodePrefix, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationCodePrefix Context triple: [Farragut North, hasStationCodePrefix, A]
-
A.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
B.
hasAirportCodePrefix
Indicates that an airport’s code begins with a specified sequence of characters.
-
C.
hasStationCodeSystem
Indicates that an entity uses or is associated with a particular system for assigning or managing station codes.
-
D.
hasPostalCodePrefix
Indicates that a location’s postal code begins with a specified sequence of characters.
-
E.
isPassengerStationCode
Indicates that a given code is officially assigned to identify a particular passenger station.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.