Triple
T16217286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datu |
E393625
|
entity |
| Predicate | higherTitleVariant |
P23605
|
FINISHED |
| Object | Rajah |
E310655
|
NE FINISHED |
How this triple was built (2 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: Rajah | Statement: [Datu, higherTitleVariant, Rajah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajah Context triple: [Datu, higherTitleVariant, Rajah]
-
A.
Rajah
Rajah is the loyal and protective tiger companion of Princess Jasmine in Disney's Aladdin franchise.
-
B.
Raja
chosen
Raja is a traditional Indian royal title historically used by Hindu monarchs and regional rulers.
-
C.
Rajah Buayan
Rajah Buayan is a municipality in the province of Maguindanao in the Philippines, known for its predominantly Muslim population and location in the Bangsamoro Autonomous Region in Muslim Mindanao.
-
D.
Tuan Besar
Tuan Besar was a Malay honorific title denoting the ruling White Rajah of Sarawak, signifying his status as the paramount leader.
-
E.
Tuanku
Tuanku is a Malay royal honorific style traditionally used for reigning monarchs and high-ranking nobility in Malaysia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f76f748190831d230d32c18611 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000796bc5c81909d2acb68851c9bb8 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.