Triple
T15508416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larissa |
E379140
|
entity |
| Predicate | isServedBy |
P1293
|
FINISHED |
| Object |
Larissa railway junction
Larissa railway junction is a major Greek rail hub that connects the city of Larissa with key national and regional railway lines.
|
E1161078
|
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: Larissa railway junction | Statement: [Larissa, isServedBy, Larissa railway junction]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larissa railway junction Context triple: [Larissa, isServedBy, Larissa railway junction]
-
A.
Murom railway junction
Murom railway junction is a key rail hub in the city of Murom, Russia, connecting multiple regional and long-distance railway lines.
-
B.
Pskov Railway Junction
Pskov Railway Junction is a key rail hub in the Pskov region of western Russia, connecting major domestic and international railway routes.
-
C.
Senaki railway junction
Senaki railway junction is a key rail transport hub in western Georgia that connects major regional and national railway lines.
-
D.
Kovel railway junction
Kovel railway junction is a major rail transport hub in western Ukraine that connects key regional and international railway lines.
-
E.
Yelshanka station
Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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: Larissa railway junction Triple: [Larissa, isServedBy, Larissa railway junction]
Generated description
Larissa railway junction is a major Greek rail hub that connects the city of Larissa with key national and regional railway lines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larissa railway junction Target entity description: Larissa railway junction is a major Greek rail hub that connects the city of Larissa with key national and regional railway lines.
-
A.
Murom railway junction
Murom railway junction is a key rail hub in the city of Murom, Russia, connecting multiple regional and long-distance railway lines.
-
B.
Pskov Railway Junction
Pskov Railway Junction is a key rail hub in the Pskov region of western Russia, connecting major domestic and international railway routes.
-
C.
Senaki railway junction
Senaki railway junction is a key rail transport hub in western Georgia that connects major regional and national railway lines.
-
D.
Kovel railway junction
Kovel railway junction is a major rail transport hub in western Ukraine that connects key regional and international railway lines.
-
E.
Yelshanka station
Yelshanka station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcea8888190a7b69aca360183c3 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff366e472c819093472da2a49593c6 |
completed | May 9, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ff38053b508190827b8dc967e8ab09 |
completed | May 9, 2026, 1:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff390304ac81909e82e908e5d3ea3c |
completed | May 9, 2026, 1:39 p.m. |
Created at: April 10, 2026, 3:55 a.m.