Triple
T7040733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broxbourne railway station |
E163502
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
BRO
BRO is the National Rail station code for Broxbourne railway station in Hertfordshire, England.
|
E636441
|
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: BRO | Statement: [Broxbourne railway station, stationCode, BRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRO Context triple: [Broxbourne railway station, stationCode, BRO]
-
A.
BRO
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
-
B.
Bro
Bro is a locality in Stockholm County, Sweden, known as one of the main population centers within Upplands-Bro Municipality.
-
C.
Br
Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
-
D.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
E.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
- 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: BRO Triple: [Broxbourne railway station, stationCode, BRO]
Generated description
BRO is the National Rail station code for Broxbourne railway station in Hertfordshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BRO Target entity description: BRO is the National Rail station code for Broxbourne railway station in Hertfordshire, England.
-
A.
BRO
BRO is the Border Roads Organisation, an Indian government agency responsible for constructing and maintaining roads and infrastructure in border and strategic areas.
-
B.
Bro
Bro is a locality in Stockholm County, Sweden, known as one of the main population centers within Upplands-Bro Municipality.
-
C.
Br
Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
-
D.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
E.
BRA
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e22544708190b0dffb5256d4cda6 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775afabbc8190a6ff263b1a996c9c |
completed | March 28, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_69c7779c8bcc819089d79399f0c9eb31 |
completed | March 28, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7789d07c08190b6b6479ffbbc9f3e |
completed | March 28, 2026, 6:43 a.m. |
Created at: March 27, 2026, 2:36 p.m.