Triple
T16972069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Berkeley station |
E411709
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
NBRK
NBRK is the station code for North Berkeley, a Bay Area Rapid Transit (BART) station in Berkeley, California.
|
E1243167
|
NE FINISHED |
How this triple was built (4 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: NBRK | Statement: [North Berkeley station, hasStationCode, NBRK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NBRK Context triple: [North Berkeley station, hasStationCode, NBRK]
-
A.
BRN
BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
-
B.
BRN
BRN is the station code for Bornova railway station in İzmir, Turkey.
-
C.
NBKR
NBKR is the central bank of Kyrgyzstan responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
-
D.
BRK
BRK is the vehicle registration code used on license plates for vehicles registered in the Bad Kissingen district of Bavaria, Germany.
-
E.
NBR
NBR is the abbreviation for the North British Railway, a former major Scottish railway company that operated in the 19th and early 20th centuries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NBRK Triple: [North Berkeley station, hasStationCode, NBRK]
Generated description
NBRK is the station code for North Berkeley, a Bay Area Rapid Transit (BART) station in Berkeley, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NBRK Target entity description: NBRK is the station code for North Berkeley, a Bay Area Rapid Transit (BART) station in Berkeley, California.
-
A.
BRN
BRN is the station code for Bornova railway station in İzmir, Turkey.
-
B.
BRN
BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
-
C.
NBKR
NBKR is the central bank of Kyrgyzstan responsible for the country’s monetary policy, financial stability, and regulation of the banking sector.
-
D.
BRK
BRK is the vehicle registration code used on license plates for vehicles registered in the Bad Kissingen district of Bavaria, Germany.
-
E.
NBR
NBR is the abbreviation for the North British Railway, a former major Scottish railway company that operated in the 19th and early 20th centuries.
- F. None of above. chosen
Provenance (5 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ad04ac81909a11b45be567613a |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d471d4248190acf40b6c11926a65 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d503f4f08190a0dcdb050d5bc7a3 |
completed | May 10, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d5adee908190a13bfc765e7c8f06 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.