Triple
T1853048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelantan |
E41638
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Tanah Merah
Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
|
E205058
|
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: Tanah Merah | Statement: [Kelantan, hasTown, Tanah Merah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanah Merah Context triple: [Kelantan, hasTown, Tanah Merah]
-
A.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
B.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
E.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
- 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: Tanah Merah Triple: [Kelantan, hasTown, Tanah Merah]
Generated description
Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanah Merah Target entity description: Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
-
A.
Marapu
Marapu is the indigenous ancestral belief system of the Sumbanese people, characterized by animism, ancestor worship, and elaborate ritual practices.
-
B.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Areias
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
E.
Las Breas
Las Breas is a small settlement located within the Río Hurtado area of Chile, likely characterized by its rural Andean setting and agricultural activities.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb06999f4819086386aafb789a368 |
completed | March 7, 2026, 4:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c81f2c81908339f6a1d1987631 |
completed | March 8, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69adcb1565a881908dfc906654429e3f |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbbc8a108190ad77e91f2ec14b8f |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.