Triple
T13306955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Valley Governorate |
E316958
|
entity |
| Predicate | areaRankingInEgypt |
P109431
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [New Valley Governorate, areaRankingInEgypt, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankingInEgypt Context triple: [New Valley Governorate, areaRankingInEgypt, 1]
-
A.
distanceFromCairo
Indicates the measured spatial distance between a given entity’s location and the city of Cairo.
-
B.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
-
C.
distanceToCairo_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Cairo.
-
D.
populationRankInEthiopia
Indicates the relative position of an entity in terms of population size compared to other entities within Ethiopia.
-
E.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6893708190aeebf4c47386cff7 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.