Triple
T19848237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loyal Orange Institution |
E476926
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object |
Orange sash
The orange sash is a ceremonial garment worn by members of the Loyal Orange Institution to signify their affiliation and rank within the Protestant fraternal order.
|
E1398908
|
NE FINISHED |
How this triple was built (4 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: Orange sash | Statement: [Loyal Orange Institution, hasSymbol, Orange sash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange sash Context triple: [Loyal Orange Institution, hasSymbol, Orange sash]
-
A.
Tricolor
Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
-
B.
Maroon and Gold
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
-
C.
Red and Gold
Red and Gold is the English name of Laval University's Rouge et Or varsity sports teams, renowned in Canada for their dominant football program.
-
D.
Red & Gold
"Red & Gold" is a 1989 folk-rock album by Fairport Convention that blends traditional-inspired storytelling with contemporary songwriting.
-
E.
Orange
Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orange sash Triple: [Loyal Orange Institution, hasSymbol, Orange sash]
Generated description
The orange sash is a ceremonial garment worn by members of the Loyal Orange Institution to signify their affiliation and rank within the Protestant fraternal order.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orange sash Target entity description: The orange sash is a ceremonial garment worn by members of the Loyal Orange Institution to signify their affiliation and rank within the Protestant fraternal order.
-
A.
Tricolor
Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
-
B.
Maroon and Gold
"Maroon and Gold" is the official fight song of Arizona State University's Sun Devils athletic teams.
-
C.
Red and Gold
Red and Gold is the English name of Laval University's Rouge et Or varsity sports teams, renowned in Canada for their dominant football program.
-
D.
Red & Gold
"Red & Gold" is a 1989 folk-rock album by Fairport Convention that blends traditional-inspired storytelling with contemporary songwriting.
-
E.
Orange
Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
- F. None of above. chosen
Provenance (5 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580ba4948190a3260f23d011cc36 |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43eee448190ba75cb9b72227918 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d8429d0c81908d4fdb9e41f6b9f5 |
completed | May 16, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d8afc97c81908be6ddcaf2a6987c |
completed | May 16, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:51 p.m.