Triple
T14011588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benguet |
E337091
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Buguias
Buguias is a rural municipality in the mountainous province of Benguet in the Philippines, known for its highland agriculture and cool climate.
|
E1075747
|
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: Buguias | Statement: [Benguet, contains, Buguias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buguias Context triple: [Benguet, contains, Buguias]
-
A.
Baulmes
Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
-
B.
Boussu
Boussu is a municipality in the province of Hainaut in Wallonia, Belgium.
-
C.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
D.
Bessan
Bessan is a commune in southern France, known for its historic village center and wine-producing countryside in the Hérault department.
-
E.
Baguia
Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
- 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: Buguias Triple: [Benguet, contains, Buguias]
Generated description
Buguias is a rural municipality in the mountainous province of Benguet in the Philippines, known for its highland agriculture and cool climate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buguias Target entity description: Buguias is a rural municipality in the mountainous province of Benguet in the Philippines, known for its highland agriculture and cool climate.
-
A.
Baulmes
Baulmes is a Swiss village and municipality in the canton of Vaud, situated near the Jura Mountains and known for its scenic rural landscape.
-
B.
Boussu
Boussu is a municipality in the province of Hainaut in Wallonia, Belgium.
-
C.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
D.
Bessan
Bessan is a commune in southern France, known for its historic village center and wine-producing countryside in the Hérault department.
-
E.
Baguia
Baguia is a remote mountainous region and administrative post in eastern Timor-Leste known for its traditional villages and rugged landscapes.
- 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_69fbc32b459c81908b652286f444e940 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc437803508190821dbe3b42f6d727 |
completed | May 7, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc43ffa5788190bd190f5fbedd10e4 |
completed | May 7, 2026, 7:49 a.m. |
Created at: April 9, 2026, 10:19 p.m.