Triple
T11473281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love It or List It |
E271961
|
entity |
| Predicate | decisionOptions |
P65611
|
FINISHED |
| Object | love it (stay in renovated home) |
—
|
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: love it (stay in renovated home) | Statement: [Love It or List It, decisionOptions, love it (stay in renovated home)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decisionOptions Context triple: [Love It or List It, decisionOptions, love it (stay in renovated home)]
-
A.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
B.
decisionMakingTool
Indicates that an entity functions as a tool or system used to support, structure, or carry out decision-making processes for another entity.
-
C.
decisionOutput
chosen
Indicates that a decision-making process produces or yields a particular outcome or result.
-
D.
decisionStyle
Indicates the characteristic way an entity approaches, processes, and makes decisions in a given context.
-
E.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.