Triple
T1365854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meriken Park |
E30000
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Kobe harbor |
E135864
|
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: Kobe harbor | Statement: [Meriken Park, hasView, Kobe harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobe harbor Context triple: [Meriken Park, hasView, Kobe harbor]
-
A.
Kaunakakai Harbor
Kaunakakai Harbor is the main commercial and transportation port serving the island of Molokaʻi in Hawaii.
-
B.
Port of Kobe
The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
-
C.
Harborland, Kobe
chosen
Harborland, Kobe is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its malls, restaurants, and scenic harbor views.
-
D.
Port of Chiba
The Port of Chiba is one of Japan’s largest industrial and cargo ports, serving as a major hub for petrochemical and manufacturing industries along the eastern shore of Tokyo Bay.
-
E.
Port of Tokyo
The Port of Tokyo is one of Japan’s major international seaports, serving as a key hub for container shipping, trade, and logistics in the Greater Tokyo metropolitan area.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d1d15481909d58b6fd8aa2e585 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36fb2c348190860129f84ca59cc3 |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 1, 2026, 7:57 p.m.