Triple
T2899871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USM Alger |
E62628
|
entity |
| Predicate | hasSupporterGroup |
P3508
|
FINISHED |
| Object |
USMA ultras
USMA ultras are the passionate, organized hardcore supporters of Algerian football club USM Alger, known for their vibrant chants, displays, and unwavering loyalty.
|
E307868
|
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: USMA ultras | Statement: [USM Alger, hasSupporterGroup, USMA ultras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USMA ultras Context triple: [USM Alger, hasSupporterGroup, USMA ultras]
-
A.
Ultras of North America
Ultras of North America is a mountaineering peak list that catalogs the continent’s most topographically prominent summits.
-
B.
USM
USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
-
C.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
D.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
E.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
- 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: USMA ultras Triple: [USM Alger, hasSupporterGroup, USMA ultras]
Generated description
USMA ultras are the passionate, organized hardcore supporters of Algerian football club USM Alger, known for their vibrant chants, displays, and unwavering loyalty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USMA ultras Target entity description: USMA ultras are the passionate, organized hardcore supporters of Algerian football club USM Alger, known for their vibrant chants, displays, and unwavering loyalty.
-
A.
Ultras of North America
Ultras of North America is a mountaineering peak list that catalogs the continent’s most topographically prominent summits.
-
B.
USM
USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
-
C.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
D.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
E.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0b081308190af8875151fb11c4e |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318c544881909f6aabfb2d25e724 |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b038fdc7e881909dd0b6fd4f692e4a |
completed | March 10, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03bca591c81908b3734cc8f2e712b |
completed | March 10, 2026, 3:42 p.m. |
Created at: March 6, 2026, 10:10 p.m.