Triple
T11148849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coat of arms of Syria |
E263733
|
entity |
| Predicate | hawkStandsOn |
P17052
|
FINISHED |
| Object | scroll |
—
|
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: scroll | Statement: [Coat of arms of Syria, hawkStandsOn, scroll]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hawkStandsOn Context triple: [Coat of arms of Syria, hawkStandsOn, scroll]
-
A.
falconPosition
Indicates the spatial location or coordinates of a falcon relative to a defined reference frame or environment.
-
B.
eagleHolds
Indicates that an eagle is holding or grasping another entity with its body or talons.
-
C.
birdPosition
Indicates the spatial location or placement of a bird relative to a reference frame or environment.
-
D.
eagleHeads
Indicates that one entity is the head or leader of another entity, in a manner metaphorically associated with an eagle (e.g., primary, dominant, or top-level authority).
-
E.
hasStandsOn
chosen
Indicates that one entity is physically supported by and in contact with the upper surface of 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8701ea481908c86c2359f5dc957 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.