Triple
T14016979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruma Lake area |
E337228
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Bruma
Bruma is a suburb of Johannesburg, South Africa, known for its commercial developments and proximity to Bruma Lake.
|
E1073334
|
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: Bruma | Statement: [Bruma Lake area, locatedIn, Bruma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruma Context triple: [Bruma Lake area, locatedIn, Bruma]
-
A.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
-
B.
Lumarzo
Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
-
C.
Roccia Nera
Roccia Nera is a minor summit in the Pennine Alps, forming part of the Breithorn massif on the border between Italy and Switzerland.
-
D.
Ituño
Ituño is the Basque surname of Spanish actress Itziar Ituño, best known for her role as Inspector Raquel Murillo (Lisbon) in the television series "Money Heist" (La Casa de Papel).
-
E.
La Colmiane
La Colmiane is a family-friendly ski resort in the French Alps known for its varied slopes, year-round mountain activities, and proximity to Nice in the Alpes-Maritimes department.
- 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: Bruma Triple: [Bruma Lake area, locatedIn, Bruma]
Generated description
Bruma is a suburb of Johannesburg, South Africa, known for its commercial developments and proximity to Bruma Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bruma Target entity description: Bruma is a suburb of Johannesburg, South Africa, known for its commercial developments and proximity to Bruma Lake.
-
A.
Monghidoro
Monghidoro is a small Italian town in the Emilia-Romagna region, known for its Apennine mountain setting and traditional local cuisine.
-
B.
Lumarzo
Lumarzo is a small municipality in the Liguria region of northwestern Italy, located in the hilly inland area near Genoa.
-
C.
Roccia Nera
Roccia Nera is a minor summit in the Pennine Alps, forming part of the Breithorn massif on the border between Italy and Switzerland.
-
D.
Ituño
Ituño is the Basque surname of Spanish actress Itziar Ituño, best known for her role as Inspector Raquel Murillo (Lisbon) in the television series "Money Heist" (La Casa de Papel).
-
E.
La Colmiane
La Colmiane is a family-friendly ski resort in the French Alps known for its varied slopes, year-round mountain activities, and proximity to Nice in the Alpes-Maritimes department.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae186bb881908ea17ae6b12825af |
completed | May 6, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaebaab508190a609fa151c686a0d |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.