Triple
T10702872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo Tower |
E252321
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Expo Tower (Osaka) |
E252321
|
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: Expo Tower (Osaka) | Statement: [Expo Tower, alsoKnownAs, Expo Tower (Osaka)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expo Tower (Osaka) Context triple: [Expo Tower, alsoKnownAs, Expo Tower (Osaka)]
-
A.
Expo Tower
chosen
Expo Tower is an observation tower built as a landmark structure for the Expo ’70 world’s fair in Osaka, Japan.
-
B.
Nagoya TV Tower
Nagoya TV Tower is a historic steel observation and broadcasting tower in central Nagoya, Japan, known as a prominent city landmark and tourist attraction.
-
C.
Abeno Harukas
Abeno Harukas is a 300-meter-tall skyscraper in Osaka, Japan, known as one of the country's tallest buildings and a major commercial, cultural, and observation complex.
-
D.
Yokohama Marine Tower
Yokohama Marine Tower is a prominent coastal observation tower and tourist attraction in Yokohama, Japan, offering panoramic views of the city and its harbor.
-
E.
Yokohama Landmark Tower
Yokohama Landmark Tower is a prominent skyscraper in Yokohama, Japan, known for its height, office and hotel facilities, and observation deck offering panoramic city and bay views.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddd28d481908abc5c1d4e5a9f3e |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998f5cda081909932daa3c98f8b46 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.