Triple
T11805865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E280745
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Ageo |
E255180
|
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: Ageo | Statement: [Saitama Prefecture, hasMajorCity, Ageo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ageo Context triple: [Saitama Prefecture, hasMajorCity, Ageo]
-
A.
Ageo
chosen
Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
-
B.
Aigai
Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
-
C.
Aigai
Aigai was an ancient Greek city of Aeolis in western Asia Minor, known as one of the Aeolian dodecapolis.
-
D.
Aizanoi
Aizanoi is an ancient Phrygian city in modern-day Turkey, best known for its well-preserved Temple of Zeus and extensive Roman ruins.
-
E.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1315b4b1481908106984a1362be89 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.