Triple
T13095501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bachman station |
E310572
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | DART Bachman station |
E310572
|
NE 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: DART Bachman station | Statement: [Bachman station, hasAbbreviation, DART Bachman station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DART Bachman station Context triple: [Bachman station, hasAbbreviation, DART Bachman station]
-
A.
Bachman station
chosen
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
B.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
-
C.
DART St. Paul Station
DART St. Paul Station is a light rail station in downtown Dallas, Texas, serving the Dallas Area Rapid Transit (DART) system and providing convenient access to nearby cultural and commercial destinations.
-
D.
Hatcher station
Hatcher station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the surrounding Dallas, Texas community.
-
E.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9814e88a0819088418c792ce7aa57 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d617f1908190a2fa147bedede54f |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:03 p.m.