Triple
T16919047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foxiangge |
E410394
|
entity |
| Predicate | hasBaseStructure |
P841
|
FINISHED |
| Object | octagonal base |
—
|
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: octagonal base | Statement: [Foxiangge, hasBaseStructure, octagonal base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBaseStructure Context triple: [Foxiangge, hasBaseStructure, octagonal base]
-
A.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
B.
hasSupportBaseIn
Indicates that one entity maintains an operational or organizational base of support located in another entity.
-
C.
hasBaseCount
Indicates the number of base units or fundamental components associated with an entity.
-
D.
hasStructureType
chosen
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
E.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdec3d0c8190994a0fca335c65d6 |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.