Triple
T16689616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azabu |
E405559
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hiroo |
E30947
|
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: Hiroo | Statement: [Azabu, near, Hiroo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroo Context triple: [Azabu, near, Hiroo]
-
A.
Hiroo
chosen
Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
-
B.
Mitsuru Ushijima
Mitsuru Ushijima was a Japanese Imperial Army general best known for leading the island’s defending forces during World War II’s Battle of Okinawa.
-
C.
Tadamichi
Tadamichi is a Japanese given name historically borne by notable figures such as the Heian-period court noble Fujiwara no Tadamichi.
-
D.
Shōjirō
Shōjirō is a Japanese masculine given name that has been borne by various notable figures in Japan’s political, cultural, and historical spheres.
-
E.
Nagahiro
Nagahiro is a Japanese given name that can be used for male individuals.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea80d88819091fc61ed3c01955a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014136275c819084da2756632e0f48 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:19 a.m.