Triple
T23359130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahinog |
E593134
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Kuguita
Kuguita is a barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
|
E1582618
|
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: Kuguita | Statement: [Mahinog, hasBarangay, Kuguita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuguita Context triple: [Mahinog, hasBarangay, Kuguita]
-
A.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
B.
Chakiwara
Chakiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban character and vibrant local culture.
-
C.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
D.
Otuyo
Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
-
E.
Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
- 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: Kuguita Triple: [Mahinog, hasBarangay, Kuguita]
Generated description
Kuguita is a barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuguita Target entity description: Kuguita is a barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
-
A.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
B.
Chakiwara
Chakiwara is a residential neighborhood located within Lyari Town in Karachi, Pakistan, known for its dense urban character and vibrant local culture.
-
C.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
D.
Otuyo
Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
-
E.
Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd385948190940cf5b878e54002 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5fa0ae848190a23b0c8c16345c26 |
completed | May 19, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c604cc84c8190946e2a35e0f736ce |
completed | May 19, 2026, 1:06 p.m. |
Created at: April 17, 2026, 5:29 p.m.