Triple
T18103818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merstham railway station |
E433295
|
entity |
| Predicate | hasRailCode |
P18202
|
FINISHED |
| Object |
MER
MER is the National Rail station code for Merstham railway station in Surrey, England.
|
E1304729
|
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: MER | Statement: [Merstham railway station, hasRailCode, MER]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MER Context triple: [Merstham railway station, hasRailCode, MER]
-
A.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
B.
MER
MER is the abbreviated name of the Mannheimer ERC, a sports club based in Mannheim, Germany.
-
C.
MER-A
MER-A, better known as Spirit, was a NASA Mars Exploration Rover that successfully explored the Martian surface from 2004 until it ceased communication in 2010.
-
D.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
E.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
- 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: MER Triple: [Merstham railway station, hasRailCode, MER]
Generated description
MER is the National Rail station code for Merstham railway station in Surrey, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MER Target entity description: MER is the National Rail station code for Merstham railway station in Surrey, England.
-
A.
MER
MER is the former New York Stock Exchange ticker symbol for Merrill Lynch, the prominent U.S.-based investment bank and wealth management firm.
-
B.
MER
MER is the abbreviated name of the Mannheimer ERC, a sports club based in Mannheim, Germany.
-
C.
MER-A
MER-A, better known as Spirit, was a NASA Mars Exploration Rover that successfully explored the Martian surface from 2004 until it ceased communication in 2010.
-
D.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
E.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb8dd308190a9c98ac2b1d8b872 |
completed | April 19, 2026, 1:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035da76a448190909d04d8ecff3a33 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a035f5802988190b4ba3b6fd3790d92 |
completed | May 12, 2026, 5:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a035fbf73f88190b4f648d7805db686 |
completed | May 12, 2026, 5:13 p.m. |
Created at: April 10, 2026, 10:28 a.m.