Triple
T12134958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamboanga del Norte |
E289032
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Piñan
Piñan is a rural municipality in the Philippine province of Zamboanga del Norte known for its agricultural economy and small-town character.
|
E969430
|
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: Piñan | Statement: [Zamboanga del Norte, hasMunicipality, Piñan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piñan Context triple: [Zamboanga del Norte, hasMunicipality, Piñan]
-
A.
Piñas
Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
-
B.
Piñol
Piñol is a Spanish-language surname historically associated with prominent families in Central America.
-
C.
El Pincha
El Pincha is the traditional nickname of Argentine football club Estudiantes de La Plata, reflecting its historic identity and fan culture.
-
D.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
-
E.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
- 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: Piñan Triple: [Zamboanga del Norte, hasMunicipality, Piñan]
Generated description
Piñan is a rural municipality in the Philippine province of Zamboanga del Norte known for its agricultural economy and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piñan Target entity description: Piñan is a rural municipality in the Philippine province of Zamboanga del Norte known for its agricultural economy and small-town character.
-
A.
Piñas
Piñas is a barrio (neighborhood or district) within the municipality of Dorado in Puerto Rico.
-
B.
Piñol
Piñol is a Spanish-language surname historically associated with prominent families in Central America.
-
C.
El Pincha
El Pincha is the traditional nickname of Argentine football club Estudiantes de La Plata, reflecting its historic identity and fan culture.
-
D.
Paillamachu
Paillamachu was a prominent Mapuche military leader (toqui) known for organizing resistance against Spanish conquest in what is now Chile.
-
E.
Gachalá
Gachalá is a small Colombian town in the Cundinamarca Department, known for its emerald mining and scenic Andean landscapes.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7baee88190a32a5a3cd0b8a326 |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60bda16e48190af8abc0aa8ef41f0 |
completed | May 2, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60cd51d34819099927fee476958ea |
completed | May 2, 2026, 2:40 p.m. |
Created at: April 8, 2026, 9:49 p.m.