Triple
T10881450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giraffe Encounter |
E256928
|
entity |
| Predicate | typicalOperatingCondition |
P27645
|
FINISHED |
| Object | daytime hours |
—
|
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: daytime hours | Statement: [Giraffe Encounter, typicalOperatingCondition, daytime hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOperatingCondition Context triple: [Giraffe Encounter, typicalOperatingCondition, daytime hours]
-
A.
operatingCondition
Indicates the specific state, requirements, or circumstances under which an entity functions or is intended to be used.
-
B.
operatingTemperature
Indicates the range or specific value of temperature within which an entity is designed or allowed to function properly.
-
C.
typicalPerformanceMode
chosen
Indicates the usual or most common way in which an entity performs an action or operates.
-
D.
operationalCharacteristic
Indicates a relationship where a specific functional or performance trait is attributed to, or used to describe, how an entity operates.
-
E.
typicalPower
Indicates the usual or characteristic amount of power associated with an entity under normal operating conditions.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751da559c819094c3680a9f734ee7 |
completed | April 9, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.