Triple
T15215483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Osaka Prefecture |
E363626
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Sennan |
E222425
|
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: Sennan | Statement: [Southern Osaka Prefecture, hasMajorCity, Sennan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sennan Context triple: [Southern Osaka Prefecture, hasMajorCity, Sennan]
-
A.
Sennan
chosen
Sennan is a coastal city in Osaka Prefecture, Japan, known for its proximity to Kansai International Airport and its role as part of the greater Osaka metropolitan area.
-
B.
Sennoy
Sennoy is a modern Russian settlement located near the archaeological site of the ancient Greek city of Phanagoria on the Taman Peninsula.
-
C.
Sakaide
Sakaide is a coastal city in Japan known for its industrial port facilities and its location near the Seto Ohashi Bridge in Kagawa Prefecture on Shikoku Island.
-
D.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
E.
Makeni
Makeni is a major city in northern Sierra Leone that serves as an important commercial and transportation hub for the region.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.