Triple
T8932906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bong County |
E212699
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bong Range |
E771188
|
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: Bong Range | Statement: [Bong County, contains, Bong Range]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bong Range Context triple: [Bong County, contains, Bong Range]
-
A.
Bong Range
chosen
Bong Range is a mountain range in central Liberia known for its rich iron ore deposits and role in the region’s mining industry.
-
B.
Nakawan Range
Nakawan Range is a limestone mountain range forming part of the natural border between Malaysia and Thailand, known for its karst landscapes and biodiversity.
-
C.
Kiso Range
The Kiso Range is a mountain range in central Japan, forming part of the Japanese Alps and known for its steep, forested peaks and scenic hiking routes.
-
D.
Tahan Range
The Tahan Range is a mountainous region in Peninsular Malaysia known for its rugged terrain, dense rainforest, and status as part of Taman Negara National Park.
-
E.
Atharamura Range
Atharamura Range is a prominent hill range in the Indian state of Tripura, known for its forested terrain and role in shaping the region’s landscape and climate.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668e5c108190b08f9cd6b4fd4a8b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb856560819085132abe9ef94819 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:57 p.m.