Triple
T34769165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgment City |
E1002308
|
entity |
| Predicate | targetResidentsEmotion |
P63081
|
FINISHED |
| Object | reduce fear and anxiety |
—
|
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: reduce fear and anxiety | Statement: [Judgment City, targetResidentsEmotion, reduce fear and anxiety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetResidentsEmotion Context triple: [Judgment City, targetResidentsEmotion, reduce fear and anxiety]
-
A.
intendedEmotion
chosen
Indicates the emotion that an action, expression, or communication is meant to evoke in its target, regardless of the actual emotion experienced.
-
B.
emotionSpectrumAffiliation
Indicates an entity’s association or alignment with a particular range or category of emotions along an emotional spectrum.
-
C.
basedOnEmotion
Indicates that one entity’s state, action, or decision is determined or influenced by an emotional condition or response associated with another entity.
-
D.
intendedResidents
Indicates the people or entities for whom a place, dwelling, or facility is designed or meant to be occupied by.
-
E.
emotionChip
Indicates that an entity possesses or is equipped with an emotion chip that enables emotional processing or simulation.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 3, 2026, 3:59 p.m.