Triple
T16885814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padang Pariaman Regency |
E421535
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object |
Sicincin
Sicincin is a town in West Sumatra, Indonesia, known as one of the main urban centers of Padang Pariaman Regency.
|
E1238523
|
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: Sicincin | Statement: [Padang Pariaman Regency, hasUrbanCenter, Sicincin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sicincin Context triple: [Padang Pariaman Regency, hasUrbanCenter, Sicincin]
-
A.
Sica Sica
Sica Sica is a small highland town in Bolivia known for its colonial architecture, hot springs, and role as an administrative center in the La Paz Department.
-
B.
Cinca
The Cinca is a major river in northeastern Spain that flows through the province of Huesca as a tributary of the Ebro.
-
C.
Sangisari
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
-
D.
Sakia
Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
-
E.
Sibulan
Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
- 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: Sicincin Triple: [Padang Pariaman Regency, hasUrbanCenter, Sicincin]
Generated description
Sicincin is a town in West Sumatra, Indonesia, known as one of the main urban centers of Padang Pariaman Regency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sicincin Target entity description: Sicincin is a town in West Sumatra, Indonesia, known as one of the main urban centers of Padang Pariaman Regency.
-
A.
Sica Sica
Sica Sica is a small highland town in Bolivia known for its colonial architecture, hot springs, and role as an administrative center in the La Paz Department.
-
B.
Cinca
The Cinca is a major river in northeastern Spain that flows through the province of Huesca as a tributary of the Ebro.
-
C.
Sangisari
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
-
D.
Sakia
Sakia is a prominent cultural center and arts venue in Cairo, Egypt, known for hosting concerts, exhibitions, and a wide range of cultural events.
-
E.
Sibulan
Sibulan is a coastal municipality in the Philippine province of Negros Oriental known as a gateway to Dumaguete City and for its local airport and seaport.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc126e881909dae8133ad34acc9 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2bcf290819098be9def471e02b8 |
completed | May 10, 2026, 5:39 p.m. |
| NEDg | Description generation | batch_6a00c3c25e9481908327bb6646212368 |
completed | May 10, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c44e37b48190a62b315ddbbd4ec4 |
completed | May 10, 2026, 5:45 p.m. |
Created at: April 10, 2026, 5:29 a.m.