Triple
T14011587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguet |
E337091
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bakun
Bakun is a remote mountain municipality in the Philippine province of Benguet known for its rugged landscapes, waterfalls, and hiking trails.
|
E1073032
|
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: Bakun | Statement: [Benguet, contains, Bakun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakun Context triple: [Benguet, contains, Bakun]
-
A.
Kayan
The Kayan are an indigenous Dayak ethnic group of Borneo, known for their riverine longhouse communities, traditional craftsmanship, and distinctive cultural practices in regions such as Sarawak.
-
B.
Angat
Angat is a landlocked municipality in the province of Bulacan in the Philippines, known for its river and proximity to the Angat Dam and watershed area.
-
C.
Kayan River
The Kayan River is a major waterway in Borneo that flows through the traditional homelands of the Kayan people, shaping their transportation, livelihoods, and cultural practices.
-
D.
Ranau
Ranau is a town in Sabah, Malaysia, known for its proximity to Mount Kinabalu and its role as a gateway to highland agricultural and eco-tourism areas.
-
E.
Gogawa
Gogawa is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
- 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: Bakun Triple: [Benguet, contains, Bakun]
Generated description
Bakun is a remote mountain municipality in the Philippine province of Benguet known for its rugged landscapes, waterfalls, and hiking trails.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakun Target entity description: Bakun is a remote mountain municipality in the Philippine province of Benguet known for its rugged landscapes, waterfalls, and hiking trails.
-
A.
Kayan
The Kayan are an indigenous Dayak ethnic group of Borneo, known for their riverine longhouse communities, traditional craftsmanship, and distinctive cultural practices in regions such as Sarawak.
-
B.
Angat
Angat is a landlocked municipality in the province of Bulacan in the Philippines, known for its river and proximity to the Angat Dam and watershed area.
-
C.
Kayan River
The Kayan River is a major waterway in Borneo that flows through the traditional homelands of the Kayan people, shaping their transportation, livelihoods, and cultural practices.
-
D.
Ranau
Ranau is a town in Sabah, Malaysia, known for its proximity to Mount Kinabalu and its role as a gateway to highland agricultural and eco-tourism areas.
-
E.
Gogawa
Gogawa is a small town located in the Khargone district of the Indian state of Madhya Pradesh.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed5cfd0819085b9c860b119a9de |
completed | April 14, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacaa16e88190995fd86951fb54e6 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbada0a2408190b77d163aee17400e |
completed | May 6, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaeeeb594819087b57da166495a72 |
completed | May 6, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:19 p.m.