Triple
T10944280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davao del Sur |
E258553
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Kiblawan
Kiblawan is a rural municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and upland communities.
|
E896575
|
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: Kiblawan | Statement: [Davao del Sur, hasMunicipality, Kiblawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiblawan Context triple: [Davao del Sur, hasMunicipality, Kiblawan]
-
A.
Kawul
Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
-
B.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Kisukuma
Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
- 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: Kiblawan Triple: [Davao del Sur, hasMunicipality, Kiblawan]
Generated description
Kiblawan is a rural municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and upland communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiblawan Target entity description: Kiblawan is a rural municipality in the province of Davao del Sur in the Philippines, known for its agricultural economy and upland communities.
-
A.
Kawul
Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
-
B.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
C.
Kashira
Kashira is a historic town in Russia, located south of Moscow on the Oka River and known as a regional industrial and transport center.
-
D.
Koubia
Koubia is a town in the Middle Guinea region of Guinea that serves as an important local administrative and commercial center.
-
E.
Kisukuma
Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c4d59481908a5900fc8cf9ecc3 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d722972c8190b14637dc9e52ce11 |
completed | April 18, 2026, 12:58 a.m. |
| NEDg | Description generation | batch_69e2ff1ddd2c8190b31f5007f7492a4e |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3260494bc81909e3dd4829697fb72 |
completed | April 18, 2026, 6:34 a.m. |
Created at: April 8, 2026, 9:23 p.m.