Triple
T13111799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gezira State |
E310990
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Blue Nile |
E38215
|
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: Blue Nile | Statement: [Gezira State, locatedBetween, Blue Nile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blue Nile Context triple: [Gezira State, locatedBetween, Blue Nile]
-
A.
Blue Nile
chosen
The Blue Nile is a major river in northeastern Africa that flows from Ethiopia into Sudan, forming a principal tributary of the Nile and playing a crucial role in the region’s agriculture and hydroelectric power.
-
B.
Opal Stone Fine Jewelry
Opal Stone Fine Jewelry is a luxury jewelry brand known for its elegant, high-end designs created by designer Opal Stone Perlman.
-
C.
Rapaport
Rapaport is a surname most prominently associated with American actor and comedian Michael Rapaport.
-
D.
Tiffany
Tiffany is a murderous doll and central villain in the Child's Play/Chucky horror film series, known for her gothic style, dark humor, and twisted romance with Chucky.
-
E.
Tiffany
Tiffany is a feminine given name of Greek origin, commonly associated with the feast of Epiphany and used in various English-speaking countries.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.