Triple
T1816633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garut |
E40449
|
entity |
| Predicate | hasTraditionalCraft |
P5963
|
FINISHED |
| Object | batik Garut |
E21748
|
NE FINISHED |
How this triple was built (2 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: batik Garut | Statement: [Garut, hasTraditionalCraft, batik Garut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: batik Garut Context triple: [Garut, hasTraditionalCraft, batik Garut]
-
A.
Batik
chosen
Batik is a traditional Indonesian textile art characterized by intricate patterns created through a wax-resist dyeing technique.
-
B.
Garut
Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
-
C.
Kuningan
Kuningan is a Balinese Hindu religious festival that marks the end of the Galungan celebrations, honoring ancestral spirits with offerings, prayers, and traditional rituals.
-
D.
Bingata dyeing
Bingata dyeing is a traditional Ryukyuan textile art known for its vivid, multicolored stencil-dyed patterns on fabric, often featuring nature-inspired motifs.
-
E.
Sanggar
Sanggar is a settlement on the island of Sumbawa in Indonesia that was devastated by the catastrophic 1815 eruption of Mount Tambora.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65f614888190a475f7df627d5f0a |
completed | March 6, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6019bc81909266b7f03b282f34 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.