Triple
T14747311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadmeadow railway station |
E346506
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BMD
BMD is the station code for Broadmeadow railway station in New South Wales, Australia.
|
E1117966
|
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: BMD | Statement: [Broadmeadow railway station, hasStationCode, BMD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMD Context triple: [Broadmeadow railway station, hasStationCode, BMD]
-
A.
BMD
BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
-
B.
BMM
BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
-
C.
BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
-
D.
BM
BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
-
E.
BM
BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
- 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: BMD Triple: [Broadmeadow railway station, hasStationCode, BMD]
Generated description
BMD is the station code for Broadmeadow railway station in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMD Target entity description: BMD is the station code for Broadmeadow railway station in New South Wales, Australia.
-
A.
BMD
BMD is the acronym for the Borders and Maritime Security Division, a U.S. homeland security component focused on safeguarding the nation’s borders and maritime domains through advanced technologies and operational capabilities.
-
B.
BMM
BMM (Business Motivation Model) is a standardized framework by the Object Management Group for modeling and analyzing an organization’s business plans, motivations, and governance.
-
C.
BM
BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
-
D.
BM
BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
-
E.
BM
BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb982b5c8190a0340be2186f8b81 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfea2b720819089110c02dbd848bd |
completed | May 8, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff1368e48190bc079645996d85d8 |
completed | May 8, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.