Triple
T11616215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murom Bridge |
E275515
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Navashino
Navashino is a town in Nizhny Novgorod Oblast, Russia, situated on the Oka River and known as one of the endpoints of the Murom Bridge.
|
E993737
|
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: Navashino | Statement: [Murom Bridge, connects, Navashino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navashino Context triple: [Murom Bridge, connects, Navashino]
-
A.
Kariya
Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
-
B.
Noda
Noda is a Japanese surname borne by various notable figures in politics, entertainment, and other fields.
-
C.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
-
D.
Sodegaura
Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
-
E.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
- 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: Navashino Triple: [Murom Bridge, connects, Navashino]
Generated description
Navashino is a town in Nizhny Novgorod Oblast, Russia, situated on the Oka River and known as one of the endpoints of the Murom Bridge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navashino Target entity description: Navashino is a town in Nizhny Novgorod Oblast, Russia, situated on the Oka River and known as one of the endpoints of the Murom Bridge.
-
A.
Kariya
Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
-
B.
Noda
Noda is a Japanese surname borne by various notable figures in politics, entertainment, and other fields.
-
C.
Ninohe
Ninohe is a small city in northeastern Japan known for its rural landscapes, traditional culture, and location within Iwate Prefecture in the Tōhoku region.
-
D.
Sodegaura
Sodegaura is a coastal city in Chiba Prefecture, Japan, known for its industrial waterfront, proximity to Tokyo Bay, and role within the Keiyō industrial zone.
-
E.
Akiruno
Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 8, 2026, 9:38 p.m.