Triple
T13417472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana Toraja Regency |
E313249
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Makale
Makale is a town in South Sulawesi, Indonesia, known as an administrative and cultural center of the Tana Toraja highlands.
|
E1038273
|
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: Makale | Statement: [Tana Toraja Regency, capital, Makale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makale Context triple: [Tana Toraja Regency, capital, Makale]
-
A.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
D.
Aamulehti
Aamulehti is a prominent Finnish regional newspaper based in Tampere, known for its comprehensive coverage of local and national news.
-
E.
Makatib
Makatib is a collection of letters by the Persian Sufi poet Rumi, offering spiritual guidance, personal counsel, and insights into his mystical thought and relationships.
- 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: Makale Triple: [Tana Toraja Regency, capital, Makale]
Generated description
Makale is a town in South Sulawesi, Indonesia, known as an administrative and cultural center of the Tana Toraja highlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Makale Target entity description: Makale is a town in South Sulawesi, Indonesia, known as an administrative and cultural center of the Tana Toraja highlands.
-
A.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
B.
The Paper
The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
-
C.
Warta
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
D.
Aamulehti
Aamulehti is a prominent Finnish regional newspaper based in Tampere, known for its comprehensive coverage of local and national news.
-
E.
Makatib
Makatib is a collection of letters by the Persian Sufi poet Rumi, offering spiritual guidance, personal counsel, and insights into his mystical thought and relationships.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7311f14988190989e319741ef0ccf |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f731e24d508190a896875210be3189 |
completed | May 3, 2026, 11:30 a.m. |
Created at: April 9, 2026, 9:39 p.m.