Triple
T11519585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yayoi period |
E273125
|
entity |
| Predicate | archaeologicalEvidence |
P3650
|
FINISHED |
| Object |
Toro site
Toro site is a significant Japanese archaeological site in Shizuoka Prefecture known for its well-preserved remains of a Yayoi-period agricultural settlement, including paddy fields and dwellings.
|
E929937
|
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: Toro site | Statement: [Yayoi period, archaeologicalEvidence, Toro site]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toro site Context triple: [Yayoi period, archaeologicalEvidence, Toro site]
-
A.
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
B.
Toro
Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Toro
Toro is a historic town in the province of Zamora, Castile and León, Spain, known for its medieval architecture and wine production.
-
E.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
- 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: Toro site Triple: [Yayoi period, archaeologicalEvidence, Toro site]
Generated description
Toro site is a significant Japanese archaeological site in Shizuoka Prefecture known for its well-preserved remains of a Yayoi-period agricultural settlement, including paddy fields and dwellings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toro site Target entity description: Toro site is a significant Japanese archaeological site in Shizuoka Prefecture known for its well-preserved remains of a Yayoi-period agricultural settlement, including paddy fields and dwellings.
-
A.
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
B.
Toro
Toro is a Marvel Comics supervillain and member of the Invaders, often depicted as a powerful, bull-like adversary.
-
C.
Toro
Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
-
D.
Toro
Toro is the traditional nickname of Torino F.C., a historic Italian football club based in Turin.
-
E.
Toro
Toro is a traditional kingdom and region in western Uganda, known for its rich cultural heritage and historical monarchy.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcf927081908ef89eff7ad833b0 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62540ff4c81909206db0344842c3b |
completed | April 20, 2026, 1:08 p.m. |
| NEDg | Description generation | batch_69e62cf5b9988190bc1935993f0111f7 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e66433ddb48190994bb1160b0ff732 |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 8, 2026, 9:36 p.m.