Triple
T34103418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A1A Car Wash |
E874635
|
entity |
| Predicate | purchasedInEpisode |
P178416
|
FINISHED |
| Object | “Open House” |
—
|
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: “Open House” | Statement: [A1A Car Wash, purchasedInEpisode, “Open House”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purchasedInEpisode Context triple: [A1A Car Wash, purchasedInEpisode, “Open House”]
-
A.
purchasedInSeason
Indicates that an item was bought during a specific season or seasonal period.
-
B.
purchasedIn
Indicates that a purchasing event occurred within or at a specific location or context (such as a store, city, or country).
-
C.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
D.
appearsInEpisodeType
Indicates that an entity is featured in, or associated with, a specific type or category of episode.
-
E.
associatedEpisode
Indicates that one entity is linked or connected to a particular episode as its related or relevant installment.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7107acf0481909b01467b9ebbde01 |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fb41a9c8190a121e62e510dc18a |
completed | May 3, 2026, 9:04 a.m. |
Created at: May 1, 2026, 1:53 a.m.