Triple
T10103434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Segamat |
E216257
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object |
Labis
Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
|
E840626
|
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: Labis | Statement: [Segamat, hasNearbyLocality, Labis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labis Context triple: [Segamat, hasNearbyLocality, Labis]
-
A.
Toboali
Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
-
B.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
-
C.
Bawean
Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
-
D.
Balabac
Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
-
E.
Nias
Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
- 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: Labis Triple: [Segamat, hasNearbyLocality, Labis]
Generated description
Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Labis Target entity description: Labis is a small town in the Segamat District of Johor, Malaysia, known as a local commercial and agricultural hub.
-
A.
Toboali
Toboali is a coastal town and administrative center in the southern part of Bangka Island in Indonesia, known historically for its tin mining activities.
-
B.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
-
C.
Bawean
Bawean is an Indonesian island in the Java Sea known for its volcanic landscape, unique endemic deer, and cultural blend of Javanese and Malay influences.
-
D.
Balabac
Balabac is a remote island municipality in the southernmost part of the Philippine province of Palawan, known for its rich marine biodiversity and pristine beaches.
-
E.
Nias
Nias is a large island off the western coast of Sumatra in Indonesia, known for its unique megalithic culture, traditional villages, and world-class surfing waves.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_69d2b7e64fcc8190805a6a31c8a3786f |
completed | April 5, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b883959481909f330a26863621ae |
completed | April 5, 2026, 7:31 p.m. |
Created at: March 30, 2026, 9:03 p.m.