Triple
T4187954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasco Region |
E88358
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Pozuzo
Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
|
E419615
|
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: Pozuzo | Statement: [Pasco Region, containsTown, Pozuzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pozuzo Context triple: [Pasco Region, containsTown, Pozuzo]
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
C.
Elpidio
Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
-
D.
Pototan
Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
-
E.
Luisita
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
- 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: Pozuzo Triple: [Pasco Region, containsTown, Pozuzo]
Generated description
Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pozuzo Target entity description: Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
C.
Elpidio
Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
-
D.
Pototan
Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
-
E.
Luisita
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0325a82c8190849d8a828e2c7b44 |
completed | March 9, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a034f6481909a3126d8832f7821 |
completed | March 14, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_69b58abc256c8190ad37c8d213b8f11e |
completed | March 14, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58b41916c81909eb2e5ab482a5fe1 |
completed | March 14, 2026, 4:22 p.m. |
Created at: March 9, 2026, 3:45 p.m.