Triple
T5234338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solo |
E118185
|
entity |
| Predicate | hasMarket |
P2714
|
FINISHED |
| Object |
Pasar Klewer
Pasar Klewer is the largest and most famous traditional textile market in Surakarta (Solo), Indonesia, renowned for its extensive selection of batik and other fabrics.
|
E504816
|
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: Pasar Klewer | Statement: [Solo, hasMarket, Pasar Klewer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pasar Klewer Context triple: [Solo, hasMarket, Pasar Klewer]
-
A.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
B.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
C.
Rossmarkt
Rossmarkt is a central public square in Frankfurt am Main known for its historical significance and role as a busy commercial and transit hub.
-
D.
Nieuwmarkt
Nieuwmarkt is a historic square and lively neighborhood in central Amsterdam known for its markets, cafés, and the medieval Waag building.
-
E.
Wunti Market
Wunti Market is a major traditional commercial hub in Bauchi, Nigeria, known for its bustling trade in foodstuffs, textiles, and everyday goods.
- 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: Pasar Klewer Triple: [Solo, hasMarket, Pasar Klewer]
Generated description
Pasar Klewer is the largest and most famous traditional textile market in Surakarta (Solo), Indonesia, renowned for its extensive selection of batik and other fabrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pasar Klewer Target entity description: Pasar Klewer is the largest and most famous traditional textile market in Surakarta (Solo), Indonesia, renowned for its extensive selection of batik and other fabrics.
-
A.
Noordermarkt
Noordermarkt is a historic square and popular market in Amsterdam’s Jordaan district, known for its organic farmers’ market and antique stalls.
-
B.
Markt
Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
-
C.
Rossmarkt
Rossmarkt is a central public square in Frankfurt am Main known for its historical significance and role as a busy commercial and transit hub.
-
D.
Nieuwmarkt
Nieuwmarkt is a historic square and lively neighborhood in central Amsterdam known for its markets, cafés, and the medieval Waag building.
-
E.
Wunti Market
Wunti Market is a major traditional commercial hub in Bauchi, Nigeria, known for its bustling trade in foodstuffs, textiles, and everyday goods.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b04c03481908d901788ce2c4128 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef818f31c8190a26950dcd9d6a895 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8fb7df08190b3256bbdaf6869df |
completed | March 21, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef97aa65481908fdce31cf5a7a0c1 |
completed | March 21, 2026, 8:03 p.m. |
Created at: March 20, 2026, 1:49 p.m.