Triple
T17565664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medang Mataram period |
E427805
|
entity |
| Predicate | hasRuler |
P5424
|
FINISHED |
| Object |
Tulodong
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
|
E1275296
|
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: Tulodong | Statement: [Medang Mataram period, hasRuler, Tulodong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulodong Context triple: [Medang Mataram period, hasRuler, Tulodong]
-
A.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
- 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: Tulodong Triple: [Medang Mataram period, hasRuler, Tulodong]
Generated description
Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tulodong Target entity description: Tulodong was a 10th-century king of the Medang Mataram Kingdom in Central Java, Indonesia.
-
A.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
B.
Talokan
Talokan is a fictional underwater Mesoamerican-inspired kingdom ruled by Namor in the Marvel Cinematic Universe film "Black Panther: Wakanda Forever."
-
C.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
D.
Tinglayan
Tinglayan is a rural municipality in the Philippine province of Kalinga, known for its mountainous terrain, traditional Kalinga culture, and rice terraces.
-
E.
Dinalungan
Dinalungan is a coastal municipality in the province of Aurora in the Philippines, known for its rural landscapes and Pacific shoreline.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01d29a14288190b5b665c5450b7c18 |
completed | May 11, 2026, 12:59 p.m. |
| NEDg | Description generation | batch_6a01d43430d481909b07d8ecc09a185f |
completed | May 11, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01d4c609fc819089147744317d4be3 |
completed | May 11, 2026, 1:08 p.m. |
Created at: April 10, 2026, 5:50 a.m.