Triple
T10443613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zarząd Transportu Miejskiego w Warszawie |
E246228
|
entity |
| Predicate | operatingAreaPopulation |
P28241
|
FINISHED |
| Object | over 1 million inhabitants |
—
|
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: over 1 million inhabitants | Statement: [Zarząd Transportu Miejskiego w Warszawie, operatingAreaPopulation, over 1 million inhabitants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingAreaPopulation Context triple: [Zarząd Transportu Miejskiego w Warszawie, operatingAreaPopulation, over 1 million inhabitants]
-
A.
hasServiceAreaPopulation
chosen
Indicates that an entity has a service area characterized by a specific population size or count.
-
B.
governedPopulation
Indicates that one entity serves as the governing authority over the population of another entity.
-
C.
metropolitanAreaPopulationApproximate
Indicates that the predicate specifies an approximate total population size for a given metropolitan area.
-
D.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
E.
permanentPopulation
Indicates that an entity has a stable, long-term resident population rather than a temporary or transient presence.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:15 p.m.