Triple
T36620707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bir Tawil |
E904027
|
entity |
| Predicate | administrativeDivisionOfEgypt |
P196806
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Bir Tawil, administrativeDivisionOfEgypt, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeDivisionOfEgypt Context triple: [Bir Tawil, administrativeDivisionOfEgypt, none]
-
A.
areaRankingInEgypt
Indicates the relative position of something in a size-based ranking when considering only entities located in Egypt.
-
B.
locatedInDirectionWithinEgypt
Indicates that one place is situated in a specified cardinal or relative direction from another place, with both locations being within the borders of Egypt.
-
C.
incorporatedIntoMakuriaBy
Indicates that one entity was absorbed or unified into the political or territorial domain of Makuria.
-
D.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
E.
hasNumberOfGovernorates
Indicates the total count of governorates associated with or contained within a given entity.
- F. None of above. chosen
Provenance (4 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
| PDg | Predicate description generation | batch_69fe68a385f48190b942700e3eddc9b6 |
completed | May 8, 2026, 10:50 p.m. |
Created at: May 3, 2026, 4:11 p.m.