Triple
T4147042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayabaya |
E89809
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Daha |
E88314
|
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: Daha | Statement: [Jayabaya, capital, Daha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daha Context triple: [Jayabaya, capital, Daha]
-
A.
Daha
chosen
Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
-
B.
Dalia
Dalia is a central love interest and salon owner in the comedy film "You Don’t Mess with the Zohan," portrayed as a strong, independent Palestinian woman who becomes romantically involved with the title character.
-
C.
Dinazad
Dinazad is an alternate spelling of Dinarzad, the younger sister of Scheherazade in the classic Middle Eastern collection of tales known as One Thousand and One Nights.
-
D.
Daza
The Daza are an ethnic group of the central Sahara, primarily in Chad, known for their nomadic pastoralist lifestyle and close cultural and linguistic ties to the Toubou (Tebu) peoples.
-
E.
Dawadmi
Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af026130bc8190ae3b0e9bec5ccad6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576d5379081908300afbb3a6fe5e4 |
completed | March 14, 2026, 2:55 p.m. |
Created at: March 9, 2026, 3:43 p.m.