Triple
T18306285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakahara-ku |
E438491
|
entity |
| Predicate | hasMunicipalSymbolType |
P52874
|
FINISHED |
| Object | ward emblem |
—
|
LITERAL 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: ward emblem | Statement: [Nakahara-ku, hasMunicipalSymbolType, ward emblem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalSymbolType Context triple: [Nakahara-ku, hasMunicipalSymbolType, ward emblem]
-
A.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
B.
hasMunicipalFlag
Indicates that a municipality possesses an officially recognized flag associated with it.
-
C.
hasMunicipalAgencyType
Indicates that a municipal agency is classified as having a specific organizational or functional type.
-
D.
haveOfficialSymbols
chosen
Indicates that an entity possesses formally recognized symbols (such as flags, emblems, or insignia) that officially represent it.
-
E.
isPartOfMunicipalityType
Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
- F. None of above.
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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.