Triple
T17104264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minangkabau International Airport |
E415056
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Ketaping
Ketaping is a locality in West Sumatra, Indonesia, known primarily for being the area served by Minangkabau International Airport near Padang.
|
E1250475
|
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: Ketaping | Statement: [Minangkabau International Airport, locatedNear, Ketaping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ketaping Context triple: [Minangkabau International Airport, locatedNear, Ketaping]
-
A.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
B.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
C.
Kuto-Kute
Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
-
D.
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.
-
E.
Bupkis
Bupkis is a semi-autobiographical comedy series created by and starring Pete Davidson that blends surreal humor with dramatized versions of his real life.
- 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: Ketaping Triple: [Minangkabau International Airport, locatedNear, Ketaping]
Generated description
Ketaping is a locality in West Sumatra, Indonesia, known primarily for being the area served by Minangkabau International Airport near Padang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ketaping Target entity description: Ketaping is a locality in West Sumatra, Indonesia, known primarily for being the area served by Minangkabau International Airport near Padang.
-
A.
Kabu Kabu
Kabu Kabu is a speculative fiction short story collection by Nnedi Okorafor that blends African folklore, magical realism, and contemporary themes.
-
B.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
C.
Kuto-Kute
Kuto-Kute is a regional dialect of the Sasak language spoken by Sasak communities on the island of Lombok in Indonesia.
-
D.
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.
-
E.
Bupkis
Bupkis is a semi-autobiographical comedy series created by and starring Pete Davidson that blends surreal humor with dramatized versions of his real life.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2591a881909c5f4f7db47f4d6c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:35 a.m.