Triple
T28022596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There Shall Be Houses, Security and Comfort! |
E707728
|
entity |
| Predicate | countryContextAtAdoption |
P9963
|
FINISHED |
| Object | Union of South Africa |
—
|
NE NERFINISHED |
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: Union of South Africa | Statement: [There Shall Be Houses, Security and Comfort!, countryContextAtAdoption, Union of South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryContextAtAdoption Context triple: [There Shall Be Houses, Security and Comfort!, countryContextAtAdoption, Union of South Africa]
-
A.
adoptedCountry
Indicates the country that an entity has chosen to reside in or align with as its new home, distinct from its place of origin.
-
B.
continentOfAdoption
Indicates the continent on which an adoption takes place or to which an adoption is geographically attributed.
-
C.
adoptionCountry
chosen
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
D.
languageOfAdoption
Indicates the language in which an adoption (e.g., of a text, standard, or practice) is formally made or recorded.
-
E.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 27, 2026, 8:11 p.m.