Triple
T11021936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavite City |
E260510
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Sapang
Sapang is a barangay (village-level administrative division) within Cavite City in the province of Cavite, Philippines.
|
E900344
|
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: Sapang | Statement: [Cavite City, hasBarangay, Sapang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapang Context triple: [Cavite City, hasBarangay, Sapang]
-
A.
Sapanca
Sapanca is a lakeside town and popular nature tourism destination in Turkey’s Marmara region, known for its scenic lake, forests, and proximity to major cities like Istanbul.
-
B.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania region.
-
C.
Sapê
Sapê is a municipality in the state of Paraíba, Brazil, known for its agricultural activities and role in the region’s economic and cultural life.
-
D.
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.
-
E.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
- 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: Sapang Triple: [Cavite City, hasBarangay, Sapang]
Generated description
Sapang is a barangay (village-level administrative division) within Cavite City in the province of Cavite, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sapang Target entity description: Sapang is a barangay (village-level administrative division) within Cavite City in the province of Cavite, Philippines.
-
A.
Sapanca
Sapanca is a lakeside town and popular nature tourism destination in Turkey’s Marmara region, known for its scenic lake, forests, and proximity to major cities like Istanbul.
-
B.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania region.
-
C.
Sapê
Sapê is a municipality in the state of Paraíba, Brazil, known for its agricultural activities and role in the region’s economic and cultural life.
-
D.
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.
-
E.
Sampang
Sampang is a coastal city and regency capital on Madura Island in East Java, Indonesia, known for its traditional Madurese culture and agriculture-based economy.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797bb6eec81909d8004af31f307f7 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374f64b3c8190b0b55193f81d3bc5 |
completed | April 18, 2026, 12:11 p.m. |
| NEDg | Description generation | batch_69e37ab860f48190808ba0076cfa9c98 |
completed | April 18, 2026, 12:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3864dd0d48190b3fd81381f5d7418 |
completed | April 18, 2026, 1:25 p.m. |
Created at: April 8, 2026, 9:25 p.m.