Triple
T33415281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Karakalpakstan |
E855696
|
entity |
| Predicate | ornamentLocation |
P176574
|
FINISHED |
| Object | near 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: near the hoist | Statement: [Flag of Karakalpakstan, ornamentLocation, near the hoist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ornamentLocation Context triple: [Flag of Karakalpakstan, ornamentLocation, near the hoist]
-
A.
ornamentName
Indicates that an ornament is identified or referred to by a specific name.
-
B.
ornamentsRepresent
Indicates that certain ornaments symbolically stand for, depict, or convey the meaning of something else.
-
C.
ornamentColor
Indicates that one entity specifies the color or hue characteristic of another entity used as an ornament or decorative element.
-
D.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
E.
fireworksLocation
Indicates the place where fireworks are set off, displayed, or occur.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e52a6d40819084472f6072c91e9f |
completed | May 3, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e47c13348190a10528c84a401178 |
completed | May 3, 2026, 6 a.m. |
Created at: May 1, 2026, 1:36 a.m.