Triple
T14142235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia national rugby union team |
E350455
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Lelos
Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
|
E1082809
|
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: Lelos | Statement: [Georgia national rugby union team, nickname, Lelos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lelos Context triple: [Georgia national rugby union team, nickname, Lelos]
-
A.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
B.
Lodoselo
Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
-
C.
Xolas
Xolas is the women's football team of Club Tijuana, competing in Mexico's Liga MX Femenil.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
- 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: Lelos Triple: [Georgia national rugby union team, nickname, Lelos]
Generated description
Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lelos Target entity description: Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
-
A.
Loëx
Loëx is a small locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
B.
Lodoselo
Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
-
C.
Xolas
Xolas is the women's football team of Club Tijuana, competing in Mexico's Liga MX Femenil.
-
D.
Echenique
Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
-
E.
Clelles
Clelles is a small commune in southeastern France’s Isère department, known as a gateway village to the Vercors Massif and the iconic Mont Aiguille.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de611ed3508190add37baa30d1d134 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf18e3d08190b287e2da192d05eb |
completed | May 7, 2026, 6:51 p.m. |
| NEDg | Description generation | batch_69fce1a2a4c881908d18b45917286712 |
completed | May 7, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce24e7860819097f51a4907c894a7 |
completed | May 7, 2026, 7:04 p.m. |
Created at: April 10, 2026, 12:48 a.m.