Triple
T2965534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jachin |
E80151
|
entity |
| Predicate | hasOppositePosition |
P36358
|
FINISHED |
| Object | Boaz on the left side |
—
|
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: Boaz on the left side | Statement: [Jachin, hasOppositePosition, Boaz on the left side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositePosition Context triple: [Jachin, hasOppositePosition, Boaz on the left side]
-
A.
hasOpposingSide
chosen
Indicates that one entity possesses or is associated with another entity that lies on the opposite or facing side relative to a reference orientation or boundary.
-
B.
hasOppositeTime
Indicates a temporal relationship where one time point or period is positioned as the direct opposite or inverse of another within a defined temporal framework (e.g., day vs. night, past vs. future).
-
C.
positionedAgainst
Indicates that one entity is placed so that it directly faces or is set opposite to another entity, often in close or contacting alignment.
-
D.
hasOpposingFront
Indicates that one entity’s front side is directly facing or oriented opposite to the front side of another entity.
-
E.
hasConceptualOpposite
Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad995a28e88190a4d6b9ef2c0d8e61 |
completed | March 8, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69ad960e71f8819088179d11248c6ed0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.