Triple
T18946862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itogon |
E463535
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Ampucao
Ampucao is a rural barangay in the mountainous municipality of Itogon in Benguet province, Philippines, known for its cool climate and scenic highland landscapes.
|
E1351529
|
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: Ampucao | Statement: [Itogon, hasBarangay, Ampucao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ampucao Context triple: [Itogon, hasBarangay, Ampucao]
-
A.
Ngqumbazi
Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
-
B.
Ngambela
Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
-
C.
Kwaluudhi
Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
-
D.
Manyana
Manyana is a small coastal village in New South Wales, Australia, known for its beaches, surfing, and relaxed holiday atmosphere.
-
E.
Umtata
Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
- 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: Ampucao Triple: [Itogon, hasBarangay, Ampucao]
Generated description
Ampucao is a rural barangay in the mountainous municipality of Itogon in Benguet province, Philippines, known for its cool climate and scenic highland landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ampucao Target entity description: Ampucao is a rural barangay in the mountainous municipality of Itogon in Benguet province, Philippines, known for its cool climate and scenic highland landscapes.
-
A.
Ngqumbazi
Ngqumbazi was a Zulu royal woman best known as the mother of King Cetshwayo kaMpande of the Zulu Kingdom.
-
B.
Ngambela
Ngambela is the traditional prime minister of the Barotse Kingdom in western Zambia, serving as the chief advisor and administrative head under the Litunga (king).
-
C.
Kwaluudhi
Kwaluudhi is a dialect of the Ovambo language spoken by a specific Ovambo subgroup in northern Namibia.
-
D.
Manyana
Manyana is a small coastal village in New South Wales, Australia, known for its beaches, surfing, and relaxed holiday atmosphere.
-
E.
Umtata
Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fcc18b48190b3cce80f996f0f16 |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a42828bc819093b89d2007f246a9 |
completed | May 14, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a606d7ac819089c8db42bebb510e |
completed | May 14, 2026, 10:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.