Triple
T13974064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Bus Route H |
E336137
|
entity |
| Predicate | isLetteredRoute |
P5539
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SEPTA Bus Route H, isLetteredRoute, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLetteredRoute Context triple: [SEPTA Bus Route H, isLetteredRoute, true]
-
A.
routeLetter
Indicates the action or process of directing or sending a letter along a specific path or through designated channels to its intended destination.
-
B.
isNumberedRouteIn
Indicates that a numbered route (such as a highway or road with an assigned number) is located within or passes through a specified geographic or administrative area.
-
C.
hasLetter
Indicates that one entity contains, includes, or is associated with a specific letter or character.
-
D.
hasLetterDesignation
chosen
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
E.
hasLetterBy
Indicates that an entity possesses or is associated with a letter authored or sent by another entity.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:18 p.m.