Triple
T1336563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yogyakarta |
E28762
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object |
Kota Pelajar
Kota Pelajar is a popular nickname for Yogyakarta, Indonesia, highlighting its status as a major national center of education and student life.
|
E154817
|
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: Kota Pelajar | Statement: [Yogyakarta, hasNickname, Kota Pelajar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kota Pelajar Context triple: [Yogyakarta, hasNickname, Kota Pelajar]
-
A.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
B.
Città universitaria
Città universitaria is the main university district in Rome that houses the central campus and key facilities of Sapienza University.
-
C.
Kokota
Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
-
D.
Óbuda University
Óbuda University is a Hungarian public university in Budapest known for its strong focus on engineering, applied sciences, and technical education.
-
E.
Komaba Campus
Komaba Campus is a major campus of the University of Tokyo, known for hosting the College of Arts and Sciences and many first- and second-year undergraduate programs.
- 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: Kota Pelajar Triple: [Yogyakarta, hasNickname, Kota Pelajar]
Generated description
Kota Pelajar is a popular nickname for Yogyakarta, Indonesia, highlighting its status as a major national center of education and student life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kota Pelajar Target entity description: Kota Pelajar is a popular nickname for Yogyakarta, Indonesia, highlighting its status as a major national center of education and student life.
-
A.
Kota
Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
-
B.
Città universitaria
Città universitaria is the main university district in Rome that houses the central campus and key facilities of Sapienza University.
-
C.
Kokota
Kokota is an Oceanic language spoken in the Solomon Islands, particularly on Santa Isabel Island.
-
D.
Óbuda University
Óbuda University is a Hungarian public university in Budapest known for its strong focus on engineering, applied sciences, and technical education.
-
E.
Komaba Campus
Komaba Campus is a major campus of the University of Tokyo, known for hosting the College of Arts and Sciences and many first- and second-year undergraduate programs.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1edda1c81909a1149b254b0d57e |
completed | March 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acc62b9bd081909dbe22cbea03f21f |
completed | March 8, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69acc6c204a88190a3171898e6e1bb91 |
completed | March 8, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc7d8df108190bf92ca5e33987d04 |
completed | March 8, 2026, 12:50 a.m. |
Created at: March 1, 2026, 7:55 p.m.