Triple
T5981685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Rita (Paraíba) |
E133131
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
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.
|
E559483
|
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: Sapê | Statement: [Santa Rita (Paraíba), hasNeighboringMunicipality, Sapê]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapê Context triple: [Santa Rita (Paraíba), hasNeighboringMunicipality, Sapê]
-
A.
Soroa
Soroa is a small Cuban village and popular ecotourism destination known for its lush mountain scenery, waterfalls, and orchid garden.
-
B.
Opata
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
C.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
-
D.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
-
E.
Omapere
Omapere is a small coastal settlement and holiday destination on the southern shore of Hokianga Harbour in New Zealand’s Northland Region.
- 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: Sapê Triple: [Santa Rita (Paraíba), hasNeighboringMunicipality, Sapê]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sapê Target entity description: 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.
-
A.
Soroa
Soroa is a small Cuban village and popular ecotourism destination known for its lush mountain scenery, waterfalls, and orchid garden.
-
B.
Opata
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
C.
Ráquira
Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
-
D.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
-
E.
Omapere
Omapere is a small coastal settlement and holiday destination on the southern shore of Hokianga Harbour in New Zealand’s Northland Region.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6921b081908a6f6323d5c7a062 |
completed | March 22, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e42174a88190b8b40cbc7815911f |
completed | March 23, 2026, 6:56 a.m. |
| NEDg | Description generation | batch_69c0f602b79881909a6d971972f760b1 |
completed | March 23, 2026, 8:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f6a75b908190b35d13b9593cf21f |
completed | March 23, 2026, 8:15 a.m. |
Created at: March 22, 2026, 4:04 p.m.