Triple
T22151444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middelalderparken |
E547421
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Loenga railway yard
Loenga railway yard is a major freight and shunting rail facility in Oslo, Norway, serving as an important hub for cargo traffic in the region.
|
E1522159
|
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: Loenga railway yard | Statement: [Middelalderparken, locatedNear, Loenga railway yard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loenga railway yard Context triple: [Middelalderparken, locatedNear, Loenga railway yard]
-
A.
Liluah railway yard
Liluah railway yard is a major railway maintenance and marshalling facility near Howrah in West Bengal, India, known for its workshops and rolling stock operations.
-
B.
Senaki railway junction
Senaki railway junction is a key rail transport hub in western Georgia that connects major regional and national railway lines.
-
C.
Nangang Depot
Nangang Depot is a major maintenance and storage facility serving Taipei's metro system in the Nangang District.
-
D.
Jichuk Depot
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
-
E.
Munyang Depot
Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
- 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: Loenga railway yard Triple: [Middelalderparken, locatedNear, Loenga railway yard]
Generated description
Loenga railway yard is a major freight and shunting rail facility in Oslo, Norway, serving as an important hub for cargo traffic in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loenga railway yard Target entity description: Loenga railway yard is a major freight and shunting rail facility in Oslo, Norway, serving as an important hub for cargo traffic in the region.
-
A.
Liluah railway yard
Liluah railway yard is a major railway maintenance and marshalling facility near Howrah in West Bengal, India, known for its workshops and rolling stock operations.
-
B.
Senaki railway junction
Senaki railway junction is a key rail transport hub in western Georgia that connects major regional and national railway lines.
-
C.
Nangang Depot
Nangang Depot is a major maintenance and storage facility serving Taipei's metro system in the Nangang District.
-
D.
Jichuk Depot
Jichuk Depot is a maintenance and storage facility serving trains on Seoul Subway Line 3 in South Korea.
-
E.
Munyang Depot
Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f4b05c8190a824f55804f6d4d5 |
completed | April 28, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9704f4988190b03783c006929ad7 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97e509a88190a7f316cf340d010a |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a987daa208190bab5b7adec1913e8 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 8:33 p.m.