Triple
T7257301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waikabubak |
E157752
|
entity |
| Predicate | hasNearbyTraditionalVillage |
P75597
|
FINISHED |
| Object |
Waitabar
Waitabar is a traditional village near Waikabubak on the Indonesian island of Sumba, known for its megalithic tombs and preserved Marapu culture.
|
E652668
|
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: Waitabar | Statement: [Waikabubak, hasNearbyTraditionalVillage, Waitabar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waitabar Context triple: [Waikabubak, hasNearbyTraditionalVillage, Waitabar]
-
A.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
B.
Lastarria
Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
-
C.
Tabo
Tabo is a historic village and monastery site in the Spiti Valley of Himachal Pradesh, India, renowned for its ancient Buddhist art and architecture.
-
D.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
E.
Shambuko
Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
- 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: Waitabar Triple: [Waikabubak, hasNearbyTraditionalVillage, Waitabar]
Generated description
Waitabar is a traditional village near Waikabubak on the Indonesian island of Sumba, known for its megalithic tombs and preserved Marapu culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Waitabar Target entity description: Waitabar is a traditional village near Waikabubak on the Indonesian island of Sumba, known for its megalithic tombs and preserved Marapu culture.
-
A.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
B.
Lastarria
Lastarria is a historic and bohemian neighborhood in central Santiago, Chile, known for its cultural venues, restaurants, and vibrant street life.
-
C.
Tabo
Tabo is a historic village and monastery site in the Spiti Valley of Himachal Pradesh, India, renowned for its ancient Buddhist art and architecture.
-
D.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
E.
Shambuko
Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6f04089408190aa20ed6767590ae1 |
completed | March 27, 2026, 9:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3b541708190b66233813b167453 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d44f36e881909d107cc625ebcfca |
completed | March 28, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d4cc3e78819098eb8ccfe7c42cc5 |
completed | March 28, 2026, 1:17 p.m. |
Created at: March 27, 2026, 2:57 p.m.