Triple
T13587837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batik Air |
E324615
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object |
BATIK
BATIK is the radio callsign used by Batik Air, an Indonesian full-service airline operating domestic and international flights.
|
E1048720
|
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: BATIK | Statement: [Batik Air, callsign, BATIK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BATIK Context triple: [Batik Air, callsign, BATIK]
-
A.
Batik
Batik is a traditional Indonesian textile art characterized by intricate patterns created through a wax-resist dyeing technique.
-
B.
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.
-
C.
Sambalpuri ikat
Sambalpuri ikat is a traditional handwoven textile from western Odisha, India, renowned for its intricate tie-dye patterns and vibrant cultural motifs.
-
D.
Kota Batik
Kota Batik is a nickname for the Indonesian city of Pekalongan, renowned as a major center of traditional batik textile production.
-
E.
Solo Batik Carnival
Solo Batik Carnival is an annual cultural parade in Surakarta, Indonesia, showcasing elaborate costumes and performances that celebrate the city’s rich batik heritage.
- 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: BATIK Triple: [Batik Air, callsign, BATIK]
Generated description
BATIK is the radio callsign used by Batik Air, an Indonesian full-service airline operating domestic and international flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BATIK Target entity description: BATIK is the radio callsign used by Batik Air, an Indonesian full-service airline operating domestic and international flights.
-
A.
Batik
Batik is a traditional Indonesian textile art characterized by intricate patterns created through a wax-resist dyeing technique.
-
B.
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.
-
C.
Sambalpuri ikat
Sambalpuri ikat is a traditional handwoven textile from western Odisha, India, renowned for its intricate tie-dye patterns and vibrant cultural motifs.
-
D.
Kota Batik
Kota Batik is a nickname for the Indonesian city of Pekalongan, renowned as a major center of traditional batik textile production.
-
E.
Solo Batik Carnival
Solo Batik Carnival is an annual cultural parade in Surakarta, Indonesia, showcasing elaborate costumes and performances that celebrate the city’s rich batik heritage.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb054c6008190839384ce26e8f71a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:49 p.m.