Triple
T25967969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | جيبوتي |
E645726
|
entity |
| Predicate | عدد_السكان |
P156703
|
FINISHED |
| Object | حوالي مليون نسمة |
—
|
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: حوالي مليون نسمة | Statement: [جيبوتي, عدد_السكان, حوالي مليون نسمة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عدد_السكان Context triple: [جيبوتي, عدد_السكان, حوالي مليون نسمة]
-
A.
totalPopulation
chosen
Indicates the overall number of individuals in a defined group, area, or category, typically summing all constituent subpopulations.
-
B.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
-
C.
hostsPopulation
Indicates that an entity serves as the living environment or container in which a particular population exists or resides.
-
D.
languageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
populationDemonym
Indicates the term used to refer to the people or inhabitants associated with a particular place or region.
- 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_69e77e8768648190b27bb578f14bcb88 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604cc423081908edb1fcf694f06fc |
completed | May 2, 2026, 2:06 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:50 a.m.