Triple
T13149034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bomaderry railway station |
E312412
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
BOM
BOM is the station code for Bomaderry railway station, a terminus on the South Coast railway line in New South Wales, Australia.
|
E1023844
|
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: BOM | Statement: [Bomaderry railway station, hasStationCode, BOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BOM Context triple: [Bomaderry railway station, hasStationCode, BOM]
-
A.
BOM
BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
-
B.
bom
bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
-
C.
BMT
BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
-
D.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
E.
BOP
BOP is the former ISO 4217 currency code for the Bolivian peso, which was replaced by the boliviano.
- 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: BOM Triple: [Bomaderry railway station, hasStationCode, BOM]
Generated description
BOM is the station code for Bomaderry railway station, a terminus on the South Coast railway line in New South Wales, Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BOM Target entity description: BOM is the station code for Bomaderry railway station, a terminus on the South Coast railway line in New South Wales, Australia.
-
A.
BOM
BOM is the IATA airport code for Chhatrapati Shivaji Maharaj International Airport serving Mumbai, India.
-
B.
bom
bom is the ISO 639-3 language code for Berom, a Plateau language spoken primarily in central Nigeria.
-
C.
BMT
BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
-
D.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
E.
BOP
BOP is the former ISO 4217 currency code for the Bolivian peso, which was replaced by the boliviano.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaea3f888190b47ed7bf1c52e7e7 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eedfd06c8190b6fe8055e54ca322 |
completed | May 3, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef7479a881909abf6caa21bdcc86 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:11 p.m.