Triple
T3059440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province 5 |
E60560
|
entity |
| Predicate | bordersProvince |
P224
|
FINISHED |
| Object |
Province 6
Province 6 is an administrative region whose territory directly adjoins that of Province 5.
|
E60560
|
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: Province 6 | Statement: [Province 5, bordersProvince, Province 6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Province 6 Context triple: [Province 5, bordersProvince, Province 6]
-
A.
Province 4
Province 4 is an administrative region that shares a boundary with Province 5 within its country’s provincial system.
-
B.
Province No. 1
Province No. 1 is an eastern administrative region of Nepal that encompasses parts of the Himalayas, including the area around Mount Everest.
-
C.
Province 5
Province 5 is one of the administrative provinces of Nepal, located in the western part of the country and known for its diverse geography and cultural heritage.
-
D.
Taif
Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
-
E.
Oriente Province
Oriente Province was a former large administrative region in eastern Cuba that included major cities like Santiago de Cuba before being subdivided into smaller provinces in 1976.
- 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: Province 6 Triple: [Province 5, bordersProvince, Province 6]
Generated description
Province 6 is an administrative region whose territory directly adjoins that of Province 5.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Province 6 Target entity description: Province 6 is an administrative region whose territory directly adjoins that of Province 5.
-
A.
Province 4
Province 4 is an administrative region that shares a boundary with Province 5 within its country’s provincial system.
-
B.
Province No. 1
Province No. 1 is an eastern administrative region of Nepal that encompasses parts of the Himalayas, including the area around Mount Everest.
-
C.
Province 5
chosen
Province 5 is one of the administrative provinces of Nepal, located in the western part of the country and known for its diverse geography and cultural heritage.
-
D.
Taif
Taif is a city in western Saudi Arabia known for its cool climate, rose cultivation, and historical significance as a summer resort and cultural center.
-
E.
Oriente Province
Oriente Province was a former large administrative region in eastern Cuba that included major cities like Santiago de Cuba before being subdivided into smaller provinces in 1976.
- F. None of above.
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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9cf9188190b43f50edc009030d |
completed | March 8, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2035055148190ad1cdd6374820e60 |
completed | March 12, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69b207593cb8819091203b3738fa69db |
completed | March 12, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2083329cc8190a88bfa39d7572317 |
completed | March 12, 2026, 12:26 a.m. |
Created at: March 8, 2026, 3:02 p.m.