Triple
T10907006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Din Djarin |
E257598
|
entity |
| Predicate | homeworld |
P2102
|
FINISHED |
| Object |
Aq Vetina
Aq Vetina is a planet in the Star Wars universe known primarily as the devastated homeworld of the Mandalorian bounty hunter Din Djarin.
|
E892511
|
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: Aq Vetina | Statement: [Din Djarin, homeworld, Aq Vetina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aq Vetina Context triple: [Din Djarin, homeworld, Aq Vetina]
-
A.
Ypati
Ypati is a historic town in central Greece, known for its mountainous setting near Mount Oeta and its role in various periods of Greek history.
-
B.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
C.
Vestinian
The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
-
D.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
E.
Varketili
Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
- 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: Aq Vetina Triple: [Din Djarin, homeworld, Aq Vetina]
Generated description
Aq Vetina is a planet in the Star Wars universe known primarily as the devastated homeworld of the Mandalorian bounty hunter Din Djarin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aq Vetina Target entity description: Aq Vetina is a planet in the Star Wars universe known primarily as the devastated homeworld of the Mandalorian bounty hunter Din Djarin.
-
A.
Ypati
Ypati is a historic town in central Greece, known for its mountainous setting near Mount Oeta and its role in various periods of Greek history.
-
B.
Velia Titta
Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
-
C.
Vestinian
The Vestinians were an ancient Italic people of central Italy, culturally and linguistically related to other Sabellian tribes.
-
D.
Bahdini
Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
-
E.
Varketili
Varketili is a metro station in Tbilisi, Georgia, serving as a key terminus on the Tbilisi Metro network.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706756d081908ed29c68d81df688 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e1801dc2e8819099bc862705871761 |
completed | April 17, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1831802608190b5c3c5a4e8d8681a |
completed | April 17, 2026, 12:47 a.m. |
Created at: April 8, 2026, 9:22 p.m.