Triple
T6602801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Texas Eagle |
E149040
|
entity |
| Predicate | trainNumberSouthbound |
P30411
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Amtrak Texas Eagle, trainNumberSouthbound, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainNumberSouthbound Context triple: [Amtrak Texas Eagle, trainNumberSouthbound, 21]
-
A.
nextStationOnLine1Southbound
Indicates that one station is the immediate next stop when traveling southbound on transit line 1.
-
B.
trainNumberDirection
Indicates the specific direction in which a train, identified by its train number, is traveling or scheduled to travel.
-
C.
terminalStationSouth
Indicates that a given station serves as the southern terminal (end point) of a particular route or line.
-
D.
precedingStationOnRedLineSouthbound
Indicates that one station is immediately before another station when traveling southbound on the Red Line.
-
E.
usesTrainNumber
chosen
Indicates that one entity operates, identifies, or references another entity by a specific train number.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6acfd17388190bd0bb8b2371e7df1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:56 p.m.