Triple
T13536894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Dom/Römer station |
E323283
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | FDOR |
E323288
|
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: FDOR | Statement: [Frankfurt Dom/Römer station, hasStationCode, FDOR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDOR Context triple: [Frankfurt Dom/Römer station, hasStationCode, FDOR]
-
A.
FDOR
chosen
FDOR is the station code assigned to Dom/Römer, a central urban rail stop in Frankfurt am Main, Germany.
-
B.
DOR
DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
-
C.
DOR
DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
-
D.
DOR
DOR is the commonly used abbreviation for the Roman Catholic Diocese of Reno in Nevada.
-
E.
DOR
DOR is the vehicle registration code used on license plates for the English county of Dorset.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.