Triple
T18683206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dabakan |
E456785
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
agung
Agung is a set of large, suspended knobbed gongs used in traditional Philippine kulintang ensembles to provide rhythmic and melodic support.
|
E456784
|
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: agung | Statement: [dabakan, associatedWith, agung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: agung Context triple: [dabakan, associatedWith, agung]
-
A.
ag
ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
-
B.
Ngantang
Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
-
C.
agong
The agong is a large, bossed hanging gong central to Maranao music and ceremonial traditions in the southern Philippines.
-
D.
Goreangab
Goreangab is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its growing housing developments and proximity to the Goreangab Dam.
-
E.
UNAIR
UNAIR is the commonly used abbreviation for Airlangga University, a major public university located in Surabaya, Indonesia.
- 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: agung Triple: [dabakan, associatedWith, agung]
Generated description
Agung is a set of large, suspended knobbed gongs used in traditional Philippine kulintang ensembles to provide rhythmic and melodic support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: agung Target entity description: Agung is a set of large, suspended knobbed gongs used in traditional Philippine kulintang ensembles to provide rhythmic and melodic support.
-
A.
ag
ag is a fast, command-line code-search tool popular among developers for quickly searching large codebases.
-
B.
Ngantang
Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
-
C.
agong
chosen
The agong is a large, bossed hanging gong central to Maranao music and ceremonial traditions in the southern Philippines.
-
D.
Goreangab
Goreangab is a residential suburb of Windhoek in Namibia’s Khomas Region, known for its growing housing developments and proximity to the Goreangab Dam.
-
E.
UNAIR
UNAIR is the commonly used abbreviation for Airlangga University, a major public university located in Surabaya, Indonesia.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2abf3c8190958c03066b5814af |
completed | April 19, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052b2dea248190a0483f3aa063247a |
completed | May 14, 2026, 1:53 a.m. |
| NEDg | Description generation | batch_6a052cbd06948190ad43c0e9c87f923d |
completed | May 14, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a052dcc4550819083f77cb8af1326d8 |
completed | May 14, 2026, 2:05 a.m. |
Created at: April 10, 2026, 11:49 a.m.