Triple
T9067059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beni-Amer |
E217269
|
entity |
| Predicate | areaOfResidence |
P75000
|
FINISHED |
| Object | Sahel region of Sudan and Eritrea |
—
|
LITERAL 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: Sahel region of Sudan and Eritrea | Statement: [Beni-Amer, areaOfResidence, Sahel region of Sudan and Eritrea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfResidence Context triple: [Beni-Amer, areaOfResidence, Sahel region of Sudan and Eritrea]
-
A.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
B.
regionOfHabitation
chosen
Indicates the geographic area or environment in which an entity typically lives or resides.
-
C.
residencyLocation
Indicates the place where an entity lives or maintains its primary residence.
-
D.
hasResidenceIn
Indicates that an entity lives or maintains a primary dwelling in a specified location.
-
E.
subdivisionOfResidence
Indicates that a residence is located within or is part of a specific smaller administrative or geographic subdivision (such as a neighborhood, district, or ward).
- F. None of above.
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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bde9c08190a4f568fbccc3c3e9 |
completed | April 1, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.