Triple
T16396881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botolan |
E398205
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Bangan-Centro
Bangan-Centro is a barangay (village-level administrative division) located in the municipality of Botolan in the Philippines.
|
E1213639
|
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: Bangan-Centro | Statement: [Botolan, hasBarangay, Bangan-Centro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangan-Centro Context triple: [Botolan, hasBarangay, Bangan-Centro]
-
A.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
D.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
E.
Chacraraju
Chacraraju is a steep, technically challenging mountain in Peru's Cordillera Blanca range, renowned among alpinists for its difficult ice and mixed climbing routes.
- 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: Bangan-Centro Triple: [Botolan, hasBarangay, Bangan-Centro]
Generated description
Bangan-Centro is a barangay (village-level administrative division) located in the municipality of Botolan in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangan-Centro Target entity description: Bangan-Centro is a barangay (village-level administrative division) located in the municipality of Botolan in the Philippines.
-
A.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
B.
Lajeado
Lajeado is a city in southern Brazil known for its strong German-Brazilian cultural heritage and traditions.
-
C.
Sibaté
Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
-
D.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
-
E.
Chacraraju
Chacraraju is a steep, technically challenging mountain in Peru's Cordillera Blanca range, renowned among alpinists for its difficult ice and mixed climbing routes.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cb3c708190b64341cb1410ed81 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004579d9a88190b353952c5c301e9f |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00472cdc2881908211045515cd21ee |
completed | May 10, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0047b4b6688190afef52b39788ceae |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 10, 2026, 5:09 a.m.