Triple
T18506483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Likert scale |
E452209
|
entity |
| Predicate | commonResponseFormat |
P97013
|
FINISHED |
| Object | strongly disagree to strongly agree |
—
|
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: strongly disagree to strongly agree | Statement: [Likert scale, commonResponseFormat, strongly disagree to strongly agree]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonResponseFormat Context triple: [Likert scale, commonResponseFormat, strongly disagree to strongly agree]
-
A.
typicalResponse
Indicates that an entity’s behavior, reaction, or outcome is the standard or commonly expected response in a given context or situation.
-
B.
responseExample
chosen
Indicates that one entity serves as an illustrative or sample response corresponding to another entity (such as a prompt, question, or situation).
-
C.
globalResponse
Indicates a reaction, policy, or set of actions taken collectively at an international or worldwide level in response to a particular event or situation.
-
D.
possibleResponse
Indicates that an entity is a valid or acceptable reply, answer, or reaction to another entity or situation.
-
E.
typicalResponseFormula
Indicates that there is a standard or characteristic formula that typically represents the response associated with the given entities or situation.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334266708190b59aca3a2218c095 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.