Triple
T28869865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse men's tennis team |
E732111
|
entity |
| Predicate | representedInstitutionNicknameCurrent |
P29026
|
FINISHED |
| Object |
Orange
Orange is the nickname and primary athletic identity of Syracuse University's sports teams.
|
E316023
|
NE FINISHED |
How this triple was built (3 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 | Statement: [Syracuse men's tennis team, representedInstitutionNicknameCurrent, Orange]
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 Triple: [Syracuse men's tennis team, representedInstitutionNicknameCurrent, Orange]
Generated description
Orange is the nickname and primary athletic identity of Syracuse University's sports teams.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedInstitutionNicknameCurrent Context triple: [Syracuse men's tennis team, representedInstitutionNicknameCurrent, Orange]
-
A.
associatedInstitutionNickname
chosen
Indicates that an institution is commonly known or referred to by a particular nickname.
-
B.
notableTeamNickname
Indicates that a team is commonly known by a particular nickname that is notable or widely recognized.
-
C.
teamInstitution
Indicates that a team is formally associated with, represents, or is part of a particular institution.
-
D.
campusNickname
Indicates the informal or colloquial name commonly used to refer to a particular campus.
-
E.
teamNicknamedAfter
Indicates that a team is commonly referred to by a nickname derived from or inspired by another entity.
- F. None of above.
Provenance (6 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24d3fabe5c819088a22bd89d3a0c0c |
completed | June 7, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_6a24d9370ef48190845aa485c0356b6f |
completed | June 7, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24dd68154481909a11f3fa37288d2c |
completed | June 7, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 28, 2026, 7:31 a.m.