Triple
T10687423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro Ward |
E251913
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Komaba Park |
E270283
|
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: Komaba Park | Statement: [Meguro Ward, hasLandmark, Komaba Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komaba Park Context triple: [Meguro Ward, hasLandmark, Komaba Park]
-
A.
Komaba Park
chosen
Komaba Park is a public green space in Tokyo’s Meguro ward known for its tranquil gardens, historic residences, and seasonal cherry blossoms.
-
B.
Tsurumai Park
Tsurumai Park is a historic public park in Nagoya, Japan, known for its cherry blossoms, landscaped grounds, and cultural facilities.
-
C.
Tsukisamu Park
Tsukisamu Park is a large public park in Sapporo, Japan, known for its expansive green spaces, sports facilities, and seasonal recreational activities.
-
D.
Yamashita Park
Yamashita Park is a famous seaside public park in Yokohama, Japan, known for its waterfront promenade, harbor views, and historic landmarks.
-
E.
Kinshi Park
Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6fa3f54819081910a2589ddbc99 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:10 p.m.