Triple
T23434284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudan Township |
E563414
|
entity |
| Predicate | hasIndigenousName |
P1435
|
FINISHED |
| Object |
Vudjan
Vudjan is the indigenous name of Mudan Township, a rural area in Pingtung County, Taiwan, traditionally inhabited by the Paiwan people.
|
E1587294
|
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: Vudjan | Statement: [Mudan Township, hasIndigenousName, Vudjan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vudjan Context triple: [Mudan Township, hasIndigenousName, Vudjan]
-
A.
Vondie
Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
-
B.
Vaval
Vaval is the symbolic king of Carnival in Martinique, a giant effigy paraded through the festivities and ceremonially burned to mark the end of the celebration.
-
C.
Djibi
Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
-
D.
Vokoun
Vokoun is a Czech surname most notably associated with former NHL goaltender Tomáš Vokoun.
-
E.
Vovo
Vovo is a language spoken in close geographic and linguistic proximity to the Nese language.
- 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: Vudjan Triple: [Mudan Township, hasIndigenousName, Vudjan]
Generated description
Vudjan is the indigenous name of Mudan Township, a rural area in Pingtung County, Taiwan, traditionally inhabited by the Paiwan people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vudjan Target entity description: Vudjan is the indigenous name of Mudan Township, a rural area in Pingtung County, Taiwan, traditionally inhabited by the Paiwan people.
-
A.
Vondie
Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
-
B.
Vaval
Vaval is the symbolic king of Carnival in Martinique, a giant effigy paraded through the festivities and ceremonially burned to mark the end of the celebration.
-
C.
Djibi
Djibi is the central protagonist of "The Lost Prince," around whom the story’s adventures and emotional journey revolve.
-
D.
Vokoun
Vokoun is a Czech surname most notably associated with former NHL goaltender Tomáš Vokoun.
-
E.
Vovo
Vovo is a language spoken in close geographic and linguistic proximity to the Nese language.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5daabcc819094446a80723a487b |
completed | April 29, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67af2b4081909384d5967cf2672a |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72171580819097c9f287d501ae7e |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c770386a8819098358513016ae5ab |
completed | May 19, 2026, 2:43 p.m. |
Created at: April 17, 2026, 5:49 p.m.