Triple
T10034653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bel Arvardan |
E204934
|
entity |
| Predicate | hasAttitudeTowardEarth |
P92030
|
FINISHED |
| Object | initially prejudiced |
—
|
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: initially prejudiced | Statement: [Bel Arvardan, hasAttitudeTowardEarth, initially prejudiced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAttitudeTowardEarth Context triple: [Bel Arvardan, hasAttitudeTowardEarth, initially prejudiced]
-
A.
relationToEarth
Indicates the spatial, physical, or conceptual relationship that something has with Earth as a reference point.
-
B.
hasAxialTilt
Indicates that one celestial body’s rotational axis is tilted at a certain angle relative to its orbital plane around another body.
-
C.
hasApproximateDistanceFromEarth
Indicates that there is an estimated or non-exact distance between an entity and Earth.
-
D.
capturesAtmosphereOf
Indicates that one entity successfully conveys or reflects the overall mood, tone, or ambiance characteristic of another entity.
-
E.
visibleFromEarth
Indicates that the object can be observed from Earth, either with the naked eye or with appropriate instruments, under suitable viewing conditions.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4a515c8190baec86d924623b12 |
completed | April 2, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 8:54 p.m.