Triple
T13494433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha urban area |
E320722
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Uruma |
E208160
|
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: Uruma | Statement: [Naha urban area, hasPart, Uruma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uruma Context triple: [Naha urban area, hasPart, Uruma]
-
A.
Uruma
chosen
Uruma is a coastal city in central Okinawa, Japan, known for its scenic islands, historic sites, and U.S. military bases.
-
B.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
C.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
-
D.
Katu
Katu is an Austroasiatic ethnic group primarily inhabiting parts of Laos and Vietnam, known for its distinct Katuic language and traditional highland culture.
-
E.
Meerufenfushi
Meerufenfushi is a small, picturesque resort island in the Maldives known for its white-sand beaches, clear turquoise waters, and overwater bungalows.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463d3a948190aab07a25fd903d4e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.