Triple
T17107900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tunisia |
E415147
|
entity |
| Predicate | hasCrescentOrientation |
P35543
|
FINISHED |
| Object | crescent open toward the hoist |
—
|
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: crescent open toward the hoist | Statement: [Flag of Tunisia, hasCrescentOrientation, crescent open toward the hoist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrescentOrientation Context triple: [Flag of Tunisia, hasCrescentOrientation, crescent open toward the hoist]
-
A.
crescentOrientation
chosen
Indicates the directional alignment or facing of a crescent-shaped object relative to a reference frame or observer.
-
B.
hasOrientation
Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
-
C.
hasStripeOrientation
Indicates the directional arrangement or alignment of stripes present on an entity.
-
D.
hasOrbitalDirection
Indicates that one celestial body orbits another in a specified directional sense (e.g., prograde or retrograde).
-
E.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc280b0c8190b9e620b90e0d4b40 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.