Triple
T98881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental Colors |
E1994
|
entity |
| Predicate | fieldPattern |
P4754
|
FINISHED |
| Object | 13 horizontal stripes |
—
|
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: 13 horizontal stripes | Statement: [Continental Colors, fieldPattern, 13 horizontal stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldPattern Context triple: [Continental Colors, fieldPattern, 13 horizontal stripes]
-
A.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
-
B.
airfieldName
Indicates the name assigned to an airfield in the relationship.
-
C.
typicalFields
Indicates the standard or commonly occurring attributes or data fields that are usually associated with an entity or record.
-
D.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
E.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a253b95d4c81909d1f2bc37e799c44 |
completed | Feb. 28, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69a24ebfc5a88190bdd1653b9fa541fe |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a253b869448190bd75a3542806b36c |
completed | Feb. 28, 2026, 2:32 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.