Triple
T23359129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahinog |
E593134
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Hubangon
Hubangon is a barangay (village-level administrative division) of the municipality of Mahinog in the Philippines.
|
E1582617
|
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: Hubangon | Statement: [Mahinog, hasBarangay, Hubangon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hubangon Context triple: [Mahinog, hasBarangay, Hubangon]
-
A.
Gonga
Gonga is a subgroup of the North Omotic branch of the Afroasiatic language family, comprising several closely related languages spoken in southwestern Ethiopia.
-
B.
Gongnie
Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
-
C.
Hubuna
Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
-
D.
Morungaba
Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
-
E.
Gogango
Gogango is a small rural locality in Central Queensland, Australia, situated west of Rockhampton and known for cattle grazing and its position along the Capricorn Highway and Fitzroy River.
- 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: Hubangon Triple: [Mahinog, hasBarangay, Hubangon]
Generated description
Hubangon is a barangay (village-level administrative division) of the municipality of Mahinog in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hubangon Target entity description: Hubangon is a barangay (village-level administrative division) of the municipality of Mahinog in the Philippines.
-
A.
Gonga
Gonga is a subgroup of the North Omotic branch of the Afroasiatic language family, comprising several closely related languages spoken in southwestern Ethiopia.
-
B.
Gongnie
Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
-
C.
Hubuna
Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
-
D.
Morungaba
Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
-
E.
Gogango
Gogango is a small rural locality in Central Queensland, Australia, situated west of Rockhampton and known for cattle grazing and its position along the Capricorn Highway and Fitzroy River.
- 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.