Triple
T9619542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammu |
E232305
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ipe |
E810141
|
NE FINISHED |
How this triple was built (2 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: Ipe | Statement: [Ammu, familyName, Ipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipe Context triple: [Ammu, familyName, Ipe]
-
A.
Ipe
chosen
Ipe is an Indian surname commonly associated with Syrian Christian families from the state of Kerala.
-
B.
Guaiúba
Guaiúba is a municipality in the state of Ceará, Brazil, located in the metropolitan region of Fortaleza.
-
C.
Juazeiro
Juazeiro is a city in the state of Bahia, Brazil, located on the São Francisco River and known for its agricultural production and close integration with the neighboring city of Petrolina.
-
D.
Simarouba
Simarouba is a genus of tropical trees and shrubs known for species like the paradise-tree, some of which are used for timber, traditional medicine, and oil-rich seeds.
-
E.
Inga
Inga are an Indigenous people of the Andean region of Colombia, known for their Quechua-related language and rich traditions in agriculture, herbal medicine, and communal life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad295008190a4418d092576cb53 |
completed | April 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18225f9508190bde23b9d2a40bccc |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:09 p.m.