Triple
T2733277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piping Shrike |
E60366
|
entity |
| Predicate | orientationInFlag |
P41721
|
FINISHED |
| Object | facing left (heraldic dexter) |
—
|
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: facing left (heraldic dexter) | Statement: [Piping Shrike, orientationInFlag, facing left (heraldic dexter)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orientationInFlag Context triple: [Piping Shrike, orientationInFlag, facing left (heraldic dexter)]
-
A.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
B.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
C.
legOrientation
Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
-
D.
orientationInducedBy
Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf175808190acbbb3873c7c3f67 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.