Triple
T2984608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muroran |
E80590
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object | Muroran city emblem |
E80590
|
NE FINISHED |
How this triple was built (2 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: Muroran city emblem | Statement: [Muroran, hasSymbol, Muroran city emblem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muroran city emblem Context triple: [Muroran, hasSymbol, Muroran city emblem]
-
A.
Muroran
chosen
Muroran is an industrial port city in southern Hokkaido, Japan, known for its steel industry and scenic coastal landscapes.
-
B.
city of Gavrilov-Yam
The city of Gavrilov-Yam is a small industrial and cultural center in central Russia, known historically for its textile and yarn production.
-
C.
Kiyota-ku, Sapporo
Kiyota-ku, Sapporo is one of the administrative wards of the city of Sapporo in Hokkaido, Japan, known primarily as a residential area with parks and suburban-style neighborhoods.
-
D.
city of Vologda
The city of Vologda is a historic regional center in northwestern Russia, known for its well-preserved wooden architecture, Orthodox monasteries, and traditional lace-making.
-
E.
Furano
Furano is a popular town in central Hokkaido, Japan, known for its scenic ski slopes in winter and vibrant lavender fields in summer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c65ad0819087bb4ae92ab0dc55 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f8b2b08190904cf89befe656dd |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.