Triple
T26526572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Vienna housing schemes |
E670703
|
entity |
| Predicate | numberOfResidentsServed |
P28241
|
FINISHED |
| Object | around 200,000 people |
—
|
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: around 200,000 people | Statement: [Red Vienna housing schemes, numberOfResidentsServed, around 200,000 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfResidentsServed Context triple: [Red Vienna housing schemes, numberOfResidentsServed, around 200,000 people]
-
A.
inhabitantsServed
Indicates the relationship in which a service, facility, or resource provides for or meets the needs of a specified group of inhabitants.
-
B.
hasResidentPopulation
Indicates that a place or administrative area has a population of people who live there permanently or for an extended period.
-
C.
intendedResidents
Indicates the people or entities for whom a place, dwelling, or facility is designed or meant to be occupied by.
-
D.
servesPopulationCentre
Indicates that one entity provides services or functions in support of a particular population centre.
-
E.
hasServiceAreaPopulation
chosen
Indicates that an entity has a service area characterized by a specific population size or count.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: April 27, 2026, 1:32 a.m.