Triple
T1791025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green City in the Sun |
E39494
|
entity |
| Predicate | refersToCityStatus |
P22389
|
FINISHED |
| Object | Nairobi as a major African metropolis |
—
|
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: Nairobi as a major African metropolis | Statement: [Green City in the Sun, refersToCityStatus, Nairobi as a major African metropolis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToCityStatus Context triple: [Green City in the Sun, refersToCityStatus, Nairobi as a major African metropolis]
-
A.
hasCityStatusFor
Indicates that an entity holds official city status within the jurisdiction or context of another entity.
-
B.
cityStatusContext
chosen
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
C.
hasAssociatedCity
Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
-
D.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
E.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.