Triple
T20792209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sragen Regency |
E511805
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Sragen
Sragen is a town in Central Java, Indonesia, known as the administrative and economic center of Sragen Regency.
|
E511805
|
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: Sragen | Statement: [Sragen Regency, seat, Sragen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sragen Context triple: [Sragen Regency, seat, Sragen]
-
A.
Sragen Regency
Sragen Regency is an administrative region in Central Java, Indonesia, known for its agricultural economy and proximity to the Bengawan Solo River.
-
B.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
C.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
D.
Muntilan
Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
-
E.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
- 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: Sragen Triple: [Sragen Regency, seat, Sragen]
Generated description
Sragen is a town in Central Java, Indonesia, known as the administrative and economic center of Sragen Regency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sragen Target entity description: Sragen is a town in Central Java, Indonesia, known as the administrative and economic center of Sragen Regency.
-
A.
Sragen Regency
chosen
Sragen Regency is an administrative region in Central Java, Indonesia, known for its agricultural economy and proximity to the Bengawan Solo River.
-
B.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
C.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
-
D.
Muntilan
Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
-
E.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
- F. None of above.
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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090af516888190a8ec410d45f8a65d |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090b962adc8190b9a9353acdcc908e |
completed | May 17, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090be46044819095f7eeeaba74fb97 |
completed | May 17, 2026, 12:29 a.m. |
Created at: April 16, 2026, 12:38 p.m.