Triple
T8555180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jelebu District |
E202545
|
entity |
| Predicate | hasStateConstituency |
P73305
|
FINISHED |
| Object |
Serting (partly)
Serting (partly) is a state constituency in Malaysia that includes portions of the Jelebu District within its electoral boundaries.
|
E742039
|
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: Serting (partly) | Statement: [Jelebu District, hasStateConstituency, Serting (partly)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serting (partly) Context triple: [Jelebu District, hasStateConstituency, Serting (partly)]
-
A.
Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
-
B.
Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
-
C.
Serdi
The Serdi were an ancient Thracian tribe that inhabited the region around present-day Sofia, Bulgaria, giving their name to the Roman city of Serdica.
-
D.
Serby
Serby is the endonym used by the Sorbs, a West Slavic ethnic minority primarily living in eastern Germany, to refer to themselves or their language.
-
E.
Sifung
Sifung is a traditional bamboo flute central to the folk music and cultural expression of the Bodo people of Northeast India.
- 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: Serting (partly) Triple: [Jelebu District, hasStateConstituency, Serting (partly)]
Generated description
Serting (partly) is a state constituency in Malaysia that includes portions of the Jelebu District within its electoral boundaries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Serting (partly) Target entity description: Serting (partly) is a state constituency in Malaysia that includes portions of the Jelebu District within its electoral boundaries.
-
A.
Sert
Sert is the surname of Josep Lluís Sert, a prominent 20th-century Spanish architect known for his modernist designs and leadership at Harvard’s Graduate School of Design.
-
B.
Sieda
Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
-
C.
Serdi
The Serdi were an ancient Thracian tribe that inhabited the region around present-day Sofia, Bulgaria, giving their name to the Roman city of Serdica.
-
D.
Serby
Serby is the endonym used by the Sorbs, a West Slavic ethnic minority primarily living in eastern Germany, to refer to themselves or their language.
-
E.
Sifung
Sifung is a traditional bamboo flute central to the folk music and cultural expression of the Bodo people of Northeast India.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4578d9c8819096b3853d01c3ec11 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dd67d288190a147562a99ecde56 |
completed | April 2, 2026, 1:23 p.m. |
| NEDg | Description generation | batch_69ce6ee1bae4819099ef302138599b34 |
completed | April 2, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fb93fd88190bc53a925473f9b71 |
completed | April 2, 2026, 1:31 p.m. |
Created at: March 30, 2026, 6:19 p.m.