Triple
T2840222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak City of New Orleans route |
E62447
|
entity |
| Predicate | directionalName |
P30236
|
FINISHED |
| Object | northbound 58 |
—
|
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: northbound 58 | Statement: [Amtrak City of New Orleans route, directionalName, northbound 58]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionalName Context triple: [Amtrak City of New Orleans route, directionalName, northbound 58]
-
A.
directionalDesignation
chosen
Indicates a relationship where one entity is assigned or labeled with a specific directional orientation relative to another entity or reference frame.
-
B.
definesDirection
Indicates that one entity specifies or establishes the orientation, course, or path along which another entity is directed or proceeds.
-
C.
directionalConfiguration
Indicates a specific spatial or directional arrangement that one entity has relative to another.
-
D.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
E.
approachDirection
Indicates the direction or bearing from which one entity moves closer to or advances toward 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.