Triple
T13048759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilocos Norte |
E327393
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Sarrat
Sarrat is a historic riverside municipality in the province of Ilocos Norte in the Philippines, known for its Spanish-era church and heritage structures.
|
E1018287
|
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: Sarrat | Statement: [Ilocos Norte, hasMunicipality, Sarrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarrat Context triple: [Ilocos Norte, hasMunicipality, Sarrat]
-
A.
Boucha
Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
-
B.
Bourem
Bourem is a town and commune in northeastern Mali situated along the Niger River, known as an administrative and trading center in the Gao Region.
-
C.
Labé
Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
-
D.
Velay
Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
-
E.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
- 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: Sarrat Triple: [Ilocos Norte, hasMunicipality, Sarrat]
Generated description
Sarrat is a historic riverside municipality in the province of Ilocos Norte in the Philippines, known for its Spanish-era church and heritage structures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarrat Target entity description: Sarrat is a historic riverside municipality in the province of Ilocos Norte in the Philippines, known for its Spanish-era church and heritage structures.
-
A.
Boucha
Boucha is the surname of Henry Boucha, a notable American ice hockey player of Ojibwe heritage.
-
B.
Bourem
Bourem is a town and commune in northeastern Mali situated along the Niger River, known as an administrative and trading center in the Gao Region.
-
C.
Labé
Labé is a major city in central Guinea that serves as an important administrative, commercial, and cultural hub of the Fouta Djallon region.
-
D.
Velay
Velay is a historical and geographical region in south-central France, known for its volcanic landscapes, traditional agriculture, and medieval heritage within the broader Massif Central area.
-
E.
Patouès
Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980b8811c81908577f092e2736610 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd8f1308190992c0bd832e1b05e |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd98d29c8190b33cb2cc6c477b1d |
completed | May 3, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce23ca208190960409130c4c52a9 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:57 p.m.