Triple
T8237251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romblon |
E192440
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Alcantara
Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
|
E726867
|
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: Alcantara | Statement: [Romblon, hasMunicipality, Alcantara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcantara Context triple: [Romblon, hasMunicipality, Alcantara]
-
A.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
-
B.
Guaduas
Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
-
C.
Cruz Quebrada-Dafundo
Cruz Quebrada-Dafundo is a civil parish in the municipality of Oeiras, in the Lisbon metropolitan area of Portugal, known for its riverside location along the Tagus River.
-
D.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
E.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
- 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: Alcantara Triple: [Romblon, hasMunicipality, Alcantara]
Generated description
Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alcantara Target entity description: Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
-
A.
Zamboanguita
Zamboanguita is a coastal municipality in the Philippine province of Negros Oriental known for its diving spots and proximity to Apo Island.
-
B.
Guaduas
Guaduas is a historic town and municipality in the Cundinamarca Department of Colombia, known for its colonial architecture and role in the country’s independence era.
-
C.
Cruz Quebrada-Dafundo
Cruz Quebrada-Dafundo is a civil parish in the municipality of Oeiras, in the Lisbon metropolitan area of Portugal, known for its riverside location along the Tagus River.
-
D.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
E.
Supía
Supía is a municipality in the Caldas Department of Colombia, known historically for gold mining and its indigenous Emberá Chamí heritage.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783929c081909db1182947755bae |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd94ec40a8819081655fee94614525 |
completed | April 1, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69cdb20cc18081908269516e49ce0fd3 |
completed | April 2, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb44ff9a88190bbcb4a56f9b44dc1 |
completed | April 2, 2026, 12:12 a.m. |
Created at: March 30, 2026, 5:47 p.m.