Triple
T15083944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soul City, North Carolina |
E360220
|
entity |
| Predicate | projectStatusBy1980s |
P64859
|
FINISHED |
| Object | largely stalled |
—
|
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: largely stalled | Statement: [Soul City, North Carolina, projectStatusBy1980s, largely stalled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectStatusBy1980s Context triple: [Soul City, North Carolina, projectStatusBy1980s, largely stalled]
-
A.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
-
B.
productionDecade
Indicates the decade during which something (such as a work, product, or item) was produced or created.
-
C.
developmentStartDecade
Indicates the decade during which the development or creation of an entity was initiated.
-
D.
statusBefore1990s
chosen
Indicates the condition or state that an entity had prior to the 1990s.
-
E.
screenDebutDecade
Indicates the decade during which an entity first appeared on screen (e.g., in film or television).
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00275cfa88190a13fe20b585d9fcb |
completed | April 15, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:03 a.m.