Triple
T10445656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linköping Central Station |
E246279
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object |
MTRX
MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
|
E864269
|
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: MTRX | Statement: [Linköping Central Station, servedBy, MTRX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTRX Context triple: [Linköping Central Station, servedBy, MTRX]
-
A.
Marq-Tran
Marq-Tran is the public bus transit system serving Marquette and the surrounding area in Michigan’s Upper Peninsula.
-
B.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
C.
MRT
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
-
D.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
E.
MTR390
The MTR390 is a turboshaft engine developed by the Europrop consortium, widely used to power the Eurocopter Tiger attack helicopter.
- 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: MTRX Triple: [Linköping Central Station, servedBy, MTRX]
Generated description
MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTRX Target entity description: MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
-
A.
Marq-Tran
Marq-Tran is the public bus transit system serving Marquette and the surrounding area in Michigan’s Upper Peninsula.
-
B.
MRT
MRT is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritania.
-
C.
MRT
MRT is the commonly used abbreviation for the Taipei Metro, the rapid transit system serving Taipei and its surrounding areas.
-
D.
TRAX
TRAX is the light rail system serving the Salt Lake City metropolitan area along Utah’s Wasatch Front.
-
E.
MTR390
The MTR390 is a turboshaft engine developed by the Europrop consortium, widely used to power the Eurocopter Tiger attack helicopter.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fdbf81508190a160edea85105d3a |
completed | April 7, 2026, 12:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87eeae8788190b63534fa4f942ead |
completed | April 10, 2026, 4:39 a.m. |
| NEDg | Description generation | batch_69d886c3fdcc8190a67a7f7788b8a2e8 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dc15ab481909011c5de93bbab14 |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 12:16 p.m.