Triple
T32037423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of American Samoa |
E818131
|
entity |
| Predicate | triangleOrientation |
P173500
|
FINISHED |
| Object | base at 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: base at the hoist | Statement: [Flag of American Samoa, triangleOrientation, base at the hoist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: triangleOrientation Context triple: [Flag of American Samoa, triangleOrientation, base at the hoist]
-
A.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
-
B.
orientationOfCross
Indicates the spatial orientation or alignment of a cross relative to a reference frame or object.
-
C.
angleRelation
Indicates a relationship specifying how two or more angles are related to each other, such as being equal, complementary, supplementary, or otherwise geometrically constrained.
-
D.
coneOrientation
Indicates the directional alignment or pointing direction of a cone relative to a reference frame or object.
-
E.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
- 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:19 a.m.