Triple
T22189623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Jones |
E548381
|
entity |
| Predicate | primaryLocationInFriday |
P146778
|
FINISHED |
| Object | front porch of his house |
—
|
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: front porch of his house | Statement: [Craig Jones, primaryLocationInFriday, front porch of his house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocationInFriday Context triple: [Craig Jones, primaryLocationInFriday, front porch of his house]
-
A.
centralLocation
Indicates that one entity serves as the primary or central place associated with another entity.
-
B.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
C.
locationScrapped
Indicates that the location associated with an entity has been removed, discarded, or is no longer considered valid or in use.
-
D.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
E.
cityLocation
Indicates that a city is geographically situated within or associated with a specific larger area or place.
- F. None of above. chosen
Provenance (4 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.