Triple
T24185476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dire Dawa |
E599544
|
entity |
| Predicate | rankByPopulationInEthiopia |
P96051
|
FINISHED |
| Object | among largest cities |
—
|
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: among largest cities | Statement: [Dire Dawa, rankByPopulationInEthiopia, among largest cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByPopulationInEthiopia Context triple: [Dire Dawa, rankByPopulationInEthiopia, among largest cities]
-
A.
populationRankInEthiopia
chosen
Indicates the relative position of an entity in terms of population size compared to other entities within Ethiopia.
-
B.
distanceFromAddisAbaba
Indicates the physical distance between a given location and Addis Ababa.
-
C.
populationRankInArmenia
Indicates the relative position of an entity in terms of population size compared to other entities within Armenia.
-
D.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
-
E.
areaRankingInEgypt
Indicates the relative position of something in a size-based ranking when considering only entities located in Egypt.
- 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_69e288cdc8b88190bf2f835d3cb4ca28 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:35 p.m.