Triple
T5792266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian carpet |
E128421
|
entity |
| Predicate | hasCommonShape |
P65864
|
FINISHED |
| Object | rectangular |
—
|
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: rectangular | Statement: [Persian carpet, hasCommonShape, rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonShape Context triple: [Persian carpet, hasCommonShape, rectangular]
-
A.
hasCommonValue
Indicates that two or more entities share at least one identical value or attribute in common.
-
B.
hasCommonReference
Indicates that two or more entities share the same source, citation, or referential basis.
-
C.
hasApproximateShape
Indicates that one entity has a shape that is similar to, but not exactly the same as, the shape of another entity.
-
D.
hasCommonRepresentative
Indicates that two or more entities share the same person or organization acting as their representative.
-
E.
hasCollectiveDimension
Indicates that something possesses a group- or community-level aspect or impact that goes beyond individual instances.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:51 p.m.