Triple
T4335095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cordillera Central |
E97443
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mountain Province |
E304064
|
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: Mountain Province | Statement: [Cordillera Central, contains, Mountain Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mountain Province Context triple: [Cordillera Central, contains, Mountain Province]
-
A.
Mountain Province
chosen
Mountain Province is a landlocked, mountainous province in the northern Philippines known for its rugged terrain, indigenous cultures, and rice terraces.
-
B.
The Mountain Province
The Mountain Province is a regional ecclesiastical jurisdiction of the Episcopal Church in the United States encompassing dioceses located primarily in the western mountainous states.
-
C.
Victoria Province
Victoria Province was the colonial-era name for what is now Masvingo Province in southeastern Zimbabwe.
-
D.
Saskatchewan
Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
-
E.
Alberta
Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:14 p.m.