Triple
T21996488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | フィリピン・ルソン島 |
E543217
|
entity |
| Predicate | 含む地域 |
P97931
|
FINISHED |
| Object |
ビコル地方
ビコル地方は、ルソン島南東部に位置し、マヨン山などの活火山や豊かな自然景観、独自のビコル語文化で知られるフィリピンの地方行政地域である。
|
E1511597
|
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: ビコル地方 | Statement: [フィリピン・ルソン島, 含む地域, ビコル地方]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ビコル地方 Context triple: [フィリピン・ルソン島, 含む地域, ビコル地方]
-
A.
Menabe region
Menabe region is a coastal administrative region in western Madagascar known for its dry forests, baobab trees, and diverse wildlife.
-
B.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
C.
Volta Region
The Volta Region is an eastern administrative region of Ghana known for its diverse Ewe culture, lush landscapes, and attractions such as Lake Volta and Wli Waterfalls.
-
D.
Bono Region
The Bono Region is an administrative region in central Ghana known for its agricultural productivity, cultural heritage, and emerging urban centers such as Sunyani.
-
E.
Gedo region
Gedo region is an administrative region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its predominantly Somali pastoralist communities.
- 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: ビコル地方 Triple: [フィリピン・ルソン島, 含む地域, ビコル地方]
Generated description
ビコル地方は、ルソン島南東部に位置し、マヨン山などの活火山や豊かな自然景観、独自のビコル語文化で知られるフィリピンの地方行政地域である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ビコル地方 Target entity description: ビコル地方は、ルソン島南東部に位置し、マヨン山などの活火山や豊かな自然景観、独自のビコル語文化で知られるフィリピンの地方行政地域である。
-
A.
Menabe region
Menabe region is a coastal administrative region in western Madagascar known for its dry forests, baobab trees, and diverse wildlife.
-
B.
Geita Region
Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
-
C.
Volta Region
The Volta Region is an eastern administrative region of Ghana known for its diverse Ewe culture, lush landscapes, and attractions such as Lake Volta and Wli Waterfalls.
-
D.
Bono Region
The Bono Region is an administrative region in central Ghana known for its agricultural productivity, cultural heritage, and emerging urban centers such as Sunyani.
-
E.
Gedo region
Gedo region is an administrative region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its predominantly Somali pastoralist communities.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12765fb0c81908f7b7acda065ee2f |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d87e33481909d2d795b2070fef3 |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e05677c819082f0613fbf6aeff0 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6e93dfe88190bcddd1802017ddea |
completed | May 18, 2026, 1:42 a.m. |
Created at: April 16, 2026, 8:19 p.m.