Triple
T2327793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E48329
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Ageo
Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
|
E255180
|
NE FINISHED |
How this triple was built (4 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, hasCity, Ageo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ageo Context triple: [Saitama Prefecture, hasCity, Ageo]
-
A.
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.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Amadioha
Amadioha is a major deity in Igbo traditional religion, revered as the god of thunder, lightning, justice, and moral order.
-
D.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
E.
Ejersa Goro
Ejersa Goro is a town in eastern Ethiopia notable as the birthplace of Emperor Haile Selassie I.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ageo Triple: [Saitama Prefecture, hasCity, Ageo]
Generated description
Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ageo Target entity description: Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
-
A.
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.
-
B.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
C.
Amadioha
Amadioha is a major deity in Igbo traditional religion, revered as the god of thunder, lightning, justice, and moral order.
-
D.
Asokoro
Asokoro is an upscale residential and administrative district in Abuja, Nigeria, known for hosting many government institutions, embassies, and high-profile residents.
-
E.
Ejersa Goro
Ejersa Goro is a town in eastern Ethiopia notable as the birthplace of Emperor Haile Selassie I.
- F. None of above. chosen
Provenance (5 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897243c48190a18b0e02ad664ead |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ace309c8190b57426d1449de723 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b56d8548190aa6a99f3f7d99c3e |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.