Triple
T9943612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komaba |
E194143
|
entity |
| Predicate | hasNearbyDistrict |
P4647
|
FINISHED |
| Object | Aobadai |
E268152
|
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: Aobadai | Statement: [Komaba, hasNearbyDistrict, Aobadai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aobadai Context triple: [Komaba, hasNearbyDistrict, Aobadai]
-
A.
Aobadai
chosen
Aobadai is a residential and commercial neighborhood in Meguro, Tokyo, known for its upscale apartments, cafes, and convenient access to central Tokyo.
-
B.
Aozou
Aozou is a small, remote settlement in northern Chad, historically associated with the disputed Aozou Strip along the Chadian–Libyan border.
-
C.
Aonobuaka
Aonobuaka is a village settlement located on the atoll of Abaiang in Kiribati.
-
D.
Bedonkohe
The Bedonkohe are a Western Apache subgroup historically associated with the Mogollon Mountains region of present-day New Mexico.
-
E.
Argobba
Argobba is an endangered South Semitic language spoken by the Argobba people in central Ethiopia.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2291a22f88190acf055a7410c1808 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.