Triple
T16581299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metheringham railway station |
E402836
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
MGM
MGM is the three-letter National Rail station code assigned to Metheringham railway station in Lincolnshire, England.
|
E1221590
|
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: MGM | Statement: [Metheringham railway station, stationCode, MGM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MGM Context triple: [Metheringham railway station, stationCode, MGM]
-
A.
MGM
MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
-
B.
MGM
MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
-
C.
MGM
MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
-
D.
MGM
MGM is the three-letter FAA location identifier assigned to Harbor Springs Municipal Airport in Michigan.
-
E.
MGM Holdings
MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
- 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: MGM Triple: [Metheringham railway station, stationCode, MGM]
Generated description
MGM is the three-letter National Rail station code assigned to Metheringham railway station in Lincolnshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MGM Target entity description: MGM is the three-letter National Rail station code assigned to Metheringham railway station in Lincolnshire, England.
-
A.
MGM
MGM (Metro-Goldwyn-Mayer) is a historic American film studio renowned for its iconic roaring lion logo and for producing many of the most famous movies of Hollywood’s Golden Age.
-
B.
MGM
MGM is a major American entertainment and hospitality brand best known for its iconic casinos, resorts, and film studio legacy.
-
C.
MGM
MGM is the IATA airport code for Montgomery Regional Airport, the primary commercial airport serving Montgomery, Alabama.
-
D.
MGM
MGM is the three-letter FAA location identifier assigned to Harbor Springs Municipal Airport in Michigan.
-
E.
MGM Holdings
MGM Holdings is the parent company that owns and oversees Metro-Goldwyn-Mayer’s entertainment assets and operations.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35998371c8190936dcdaab5ca7e21 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef0bc4c8190b06b03c06d344abf |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006ff5bdb88190be90d7446e24b61f |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007088fd988190b3dfef081769d03e |
completed | May 10, 2026, 11:48 a.m. |
Created at: April 10, 2026, 5:16 a.m.