Triple
T14764941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milford Haven railway station |
E346968
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
MFH
MFH is the National Rail station code for Milford Haven railway station in Pembrokeshire, Wales.
|
E1119273
|
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: MFH | Statement: [Milford Haven railway station, hasStationCode, MFH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MFH Context triple: [Milford Haven railway station, hasStationCode, MFH]
-
A.
FMH
FMH is the IATA airport code for Otis Air National Guard Base, a military airfield located in Massachusetts, United States.
-
B.
MF
MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
-
C.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
-
D.
MfS
MfS was the official state security and intelligence service of the former East Germany, widely known for its extensive surveillance and repression of the population.
-
E.
MFO
MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
- 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: MFH Triple: [Milford Haven railway station, hasStationCode, MFH]
Generated description
MFH is the National Rail station code for Milford Haven railway station in Pembrokeshire, Wales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MFH Target entity description: MFH is the National Rail station code for Milford Haven railway station in Pembrokeshire, Wales.
-
A.
FMH
FMH is the IATA airport code for Otis Air National Guard Base, a military airfield located in Massachusetts, United States.
-
B.
MF
MF is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas collectivity of Saint Martin.
-
C.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
-
D.
MfS
MfS was the official state security and intelligence service of the former East Germany, widely known for its extensive surveillance and repression of the population.
-
E.
MFO
MFO is an international peacekeeping organization that supervises the implementation of the security provisions of the Egypt–Israel peace treaty in the Sinai Peninsula.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf4cef081909fa62125f43b36bc |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1d66af94819091a84c2225cc7828 |
completed | May 8, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1e0089e08190a91f8683e683c371 |
completed | May 8, 2026, 5:31 p.m. |
Created at: April 10, 2026, 1:30 a.m.