Triple
T6106151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Region |
E136121
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Campo
Campo is a town located in the South Region of Brazil.
|
E568534
|
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: Campo | Statement: [South Region, containsTown, Campo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Campo Context triple: [South Region, containsTown, Campo]
-
A.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
B.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
The Great Field
The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
-
D.
Veldidena
Veldidena was a significant Roman-era settlement and strategic center located in the province of Raetia, in the region of present-day Austria.
-
E.
Pastos
Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
- 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: Campo Triple: [South Region, containsTown, Campo]
Generated description
Campo is a town located in the South Region of Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Campo Target entity description: Campo is a town located in the South Region of Brazil.
-
A.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
B.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
The Great Field
The Great Field is an ancient Egyptian royal burial ground on the west bank of the Nile at Luxor, renowned for its rock-cut tombs of New Kingdom pharaohs and nobles.
-
D.
Veldidena
Veldidena was a significant Roman-era settlement and strategic center located in the province of Raetia, in the region of present-day Austria.
-
E.
Pastos
Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255759f48190a6aadf33406dcb49 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c1275910108190a0a5f458a468c292 |
completed | March 23, 2026, 11:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c127b831d081909436a62e002d1fa5 |
completed | March 23, 2026, 11:44 a.m. |
Created at: March 22, 2026, 4:13 p.m.