Triple
T12650643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabela plains |
E302147
|
entity |
| Predicate | isMajorFoodSourceFor |
P105996
|
FINISHED |
| Object | Isabela province |
E430675
|
NE FINISHED |
How this triple was built (3 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: Isabela province | Statement: [Isabela plains, isMajorFoodSourceFor, Isabela province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isabela province Context triple: [Isabela plains, isMajorFoodSourceFor, Isabela province]
-
A.
Isabela Province
chosen
Isabela Province is a largely agricultural province in the Cagayan Valley region of the Philippines, known for its vast rice and corn fields and significant role in the country’s grain production.
-
B.
Isabel Province
Isabel Province is a largely rural island province in the Solomon Islands, known for its mountainous terrain, traditional villages, and rich marine and forest biodiversity.
-
C.
Santa Isabel Province
Santa Isabel Province is an island province of the Solomon Islands in the southwestern Pacific Ocean, known for its indigenous cultures and tropical landscapes.
-
D.
La Mar Province
La Mar Province is an administrative province located in the Ayacucho Region of south-central Peru, known for its Andean geography and predominantly rural communities.
-
E.
Aurora Province
Aurora Province is a coastal province in Central Luzon, Philippines, known for its Pacific shoreline, surfing spots, and mountainous rainforest landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorFoodSourceFor Context triple: [Isabela plains, isMajorFoodSourceFor, Isabela province]
-
A.
mainPreySpecies
Indicates the species that serves as the primary prey or main food source for a given predator.
-
B.
animalDietProvided
Indicates that food appropriate to an animal’s dietary needs is supplied to it.
-
C.
feedingHabitat
Indicates the type of environment or location where an organism typically obtains and consumes its food.
-
D.
trophicType
Indicates the way an organism obtains its energy and nutrients within a food web or ecosystem.
-
E.
primaryFoodAcquisition
Indicates the main method or strategy by which an entity obtains its food or nutritional resources.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:18 p.m.