Triple
T22431378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Potiguar |
E554506
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Patu
Patu is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its religious tourism and striking rocky landscapes.
|
E1535182
|
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: Patu | Statement: [Central Potiguar, containsMunicipality, Patu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patu Context triple: [Central Potiguar, containsMunicipality, Patu]
-
A.
Patu
Patu is an alternative name for the Chitrali language spoken primarily in Pakistan’s Chitral region.
-
B.
Patuone
Patuone was a prominent 19th-century Ngāpuhi rangatira (chief) and peacemaker who played a key role in early Māori–Pākehā relations and the signing of the Treaty of Waitangi.
-
C.
Patuha
Patuha is a stratovolcano in West Java, Indonesia, known for its scenic crater lake Kawah Putih and geothermal activity.
-
D.
Patuca
Patuca is a municipality in eastern Honduras known for its rural communities and proximity to the Patuca River, one of Central America’s largest waterways.
-
E.
Patok
Patok is a coastal village in northwestern Albania known for its nearby lagoon and wetlands that attract birdlife and eco-tourism.
- 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: Patu Triple: [Central Potiguar, containsMunicipality, Patu]
Generated description
Patu is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its religious tourism and striking rocky landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patu Target entity description: Patu is a municipality in the state of Rio Grande do Norte in northeastern Brazil, known for its religious tourism and striking rocky landscapes.
-
A.
Patu
Patu is an alternative name for the Chitrali language spoken primarily in Pakistan’s Chitral region.
-
B.
Patuone
Patuone was a prominent 19th-century Ngāpuhi rangatira (chief) and peacemaker who played a key role in early Māori–Pākehā relations and the signing of the Treaty of Waitangi.
-
C.
Patuha
Patuha is a stratovolcano in West Java, Indonesia, known for its scenic crater lake Kawah Putih and geothermal activity.
-
D.
Patuca
Patuca is a municipality in eastern Honduras known for its rural communities and proximity to the Patuca River, one of Central America’s largest waterways.
-
E.
Patok
Patok is a coastal village in northwestern Albania known for its nearby lagoon and wetlands that attract birdlife and eco-tourism.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a32139481909baaf9275f5e0257 |
completed | April 29, 2026, 1:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0f73d64819092b457958af9ad79 |
completed | May 18, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_6a0af1c05bf8819089fd76b6a03a87d0 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af255240c8190a2ba805b1b4d72de |
completed | May 18, 2026, 11:04 a.m. |
Created at: April 16, 2026, 8:47 p.m.