Triple
T12059969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore rail network |
E287140
|
entity |
| Predicate | majorMetroStation |
P74351
|
FINISHED |
| Object | Mondawmin station |
E165575
|
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: Mondawmin station | Statement: [Baltimore rail network, majorMetroStation, Mondawmin station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mondawmin station Context triple: [Baltimore rail network, majorMetroStation, Mondawmin station]
-
A.
Mondawmin station
chosen
Mondawmin station is a rapid transit stop on Baltimore's Metro SubwayLink system serving the Mondawmin neighborhood and its adjacent shopping mall.
-
B.
Mingaladon station
Mingaladon station is a local commuter rail stop in Yangon, Myanmar, serving passengers on the Yangon Circular Railway line.
-
C.
Pazundaung station
Pazundaung station is a local commuter rail stop in Yangon, Myanmar, serving passengers on the Yangon Circular Railway line.
-
D.
Madang Road station
Madang Road station is a Shanghai Metro interchange station in the Huangpu District, serving as a stop on Line 13 and connecting with other central urban routes.
-
E.
Ximen Station
Ximen Station is a major Taipei Metro interchange station in the Ximending shopping and entertainment district of Taipei, Taiwan.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f651641c8190bfd1d4d228a36209 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.