Triple
T14906576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carabaya Province |
E360147
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Macusani
Macusani is a high-altitude town in southeastern Peru that serves as an administrative and commercial center in the Andean region.
|
E1127619
|
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: Macusani | Statement: [Carabaya Province, hasCapital, Macusani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macusani Context triple: [Carabaya Province, hasCapital, Macusani]
-
A.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Machhiwara
Machhiwara is a historic town in Punjab, India, known for its association with Guru Gobind Singh and its location within the Ludhiana region.
-
D.
Makatsch
Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
-
E.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
- 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: Macusani Triple: [Carabaya Province, hasCapital, Macusani]
Generated description
Macusani is a high-altitude town in southeastern Peru that serves as an administrative and commercial center in the Andean region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Macusani Target entity description: Macusani is a high-altitude town in southeastern Peru that serves as an administrative and commercial center in the Andean region.
-
A.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
B.
Marangona
Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
-
C.
Machhiwara
Machhiwara is a historic town in Punjab, India, known for its association with Guru Gobind Singh and its location within the Ludhiana region.
-
D.
Makatsch
Makatsch is the surname of German actress and television presenter Heike Makatsch, known for her roles in films such as "Love Actually" and "Resident Evil."
-
E.
Mandeali
Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded61b3c808190b4f6df4e5cb401ad |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72b7640c8190b463f69fb67fd30a |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe771e361481908b58eb38f804f650 |
completed | May 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe77fef3d88190afbd7839c4625226 |
completed | May 8, 2026, 11:55 p.m. |
Created at: April 10, 2026, 2:12 a.m.