Triple
T19852703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lealholm railway station |
E477039
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
LHM
LHM is the National Rail station code for Lealholm railway station, a rural stop on the Esk Valley Line in North Yorkshire, England.
|
E1398113
|
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: LHM | Statement: [Lealholm railway station, stationCode, LHM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LHM Context triple: [Lealholm railway station, stationCode, LHM]
-
A.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
B.
LHB
LHB refers to the Late Heavy Bombardment, a hypothesized period about 4.1–3.8 billion years ago when the inner Solar System experienced an intense spike in asteroid and comet impacts.
-
C.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
D.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
-
E.
LUH
LUH is the IATA airport code for Ludhiana Airport, a domestic airport serving the city of Ludhiana in the Indian state of Punjab.
- 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: LHM Triple: [Lealholm railway station, stationCode, LHM]
Generated description
LHM is the National Rail station code for Lealholm railway station, a rural stop on the Esk Valley Line in North Yorkshire, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LHM Target entity description: LHM is the National Rail station code for Lealholm railway station, a rural stop on the Esk Valley Line in North Yorkshire, England.
-
A.
LHM
LHM is the station code for Lillehammer railway station in Norway.
-
B.
LHB
LHB refers to the Late Heavy Bombardment, a hypothesized period about 4.1–3.8 billion years ago when the inner Solar System experienced an intense spike in asteroid and comet impacts.
-
C.
LH
LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
-
D.
LH
The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
-
E.
LUH
LUH is the IATA airport code for Ludhiana Airport, a domestic airport serving the city of Ludhiana in the Indian state of Punjab.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65869e1b481908e2a2a2074ff4a6d |
completed | April 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d44098188190b2627bbf3695495d |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d51bda3c81908575cd41a212c108 |
completed | May 16, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d5d7c4bc8190ab189fa556a956d7 |
completed | May 16, 2026, 2:26 a.m. |
Created at: April 10, 2026, 1:51 p.m.