Triple
T14969791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argao |
E373285
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Mabasa
Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
|
E1134153
|
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: Mabasa | Statement: [Argao, hasBarangay, Mabasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mabasa Context triple: [Argao, hasBarangay, Mabasa]
-
A.
Mhlaba
Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
Matamela
Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
-
E.
Bamangwato
Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
- 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: Mabasa Triple: [Argao, hasBarangay, Mabasa]
Generated description
Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mabasa Target entity description: Mabasa is a barangay (village-level administrative division) within the municipality of Argao in Cebu, Philippines.
-
A.
Mhlaba
Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Mazabuka
Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
-
D.
Matamela
Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
-
E.
Bamangwato
Bamangwato are a major Tswana-speaking chieftaincy and ethnic subgroup in Botswana historically centered around Serowe and known for their influential role in the country’s political development.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dc4715c81908b4745996d660f7c |
completed | May 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fea187f1c48190aebe8789f47af226 |
completed | May 9, 2026, 2:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea1e618808190bfe0816fd86cf59b |
completed | May 9, 2026, 2:54 a.m. |
Created at: April 10, 2026, 2:49 a.m.