Triple
T16485787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Centrale |
E400434
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
MTRL
MTRL is the station code for Gare Centrale, a major central railway station.
|
E1216117
|
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: MTRL | Statement: [Gare Centrale, hasStationCode, MTRL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTRL Context triple: [Gare Centrale, hasStationCode, MTRL]
-
A.
Mattertal
Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
-
B.
MTRX
MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
-
C.
Material Thangz
"Material Thangz" is an R&B/funk song by The Deele, known for its smooth groove and mid-1980s urban contemporary sound.
-
D.
MART
MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
-
E.
MTL
MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
- 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: MTRL Triple: [Gare Centrale, hasStationCode, MTRL]
Generated description
MTRL is the station code for Gare Centrale, a major central railway station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTRL Target entity description: MTRL is the station code for Gare Centrale, a major central railway station.
-
A.
Mattertal
Mattertal is a high alpine valley in the Swiss canton of Valais, known for its dramatic peaks including the Matterhorn and its popular mountaineering and ski resorts.
-
B.
MTRX
MTRX is a Swedish private train operator that runs high-speed passenger services, primarily on the Stockholm–Gothenburg route.
-
C.
Material Thangz
"Material Thangz" is an R&B/funk song by The Deele, known for its smooth groove and mid-1980s urban contemporary sound.
-
D.
MART
MART is a prominent modern and contemporary art museum in Rovereto, Italy, renowned for its extensive collections and striking contemporary architecture.
-
E.
MTL
MTL is the standard three-letter abbreviation used for the National Hockey League team the Montreal Canadiens.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582275308190a0fb3944d74916cf |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058a1c51c81908f49db448a4d0365 |
completed | May 10, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00595837c4819093f1a1a35185bc4b |
completed | May 10, 2026, 10:09 a.m. |
Created at: April 10, 2026, 5:13 a.m.