Triple
T4330540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aladdin (2019 film) |
E96736
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Agrabah |
E347350
|
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: Agrabah | Statement: [Aladdin (2019 film), setIn, Agrabah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agrabah Context triple: [Aladdin (2019 film), setIn, Agrabah]
-
A.
Agrabah
chosen
Agrabah is the fictional Middle Eastern-inspired desert kingdom that serves as the primary setting of Disney's animated film "Aladdin."
-
B.
Sultaniyya
Sultaniyya was a prominent medieval city in northwestern Iran that served as the political and cultural center of the Mongol Ilkhanid dynasty.
-
C.
Ciudad de los Reyes
Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
-
D.
Qala
Qala is a small village on the eastern tip of the Maltese island of Gozo, known for its scenic coastal views and traditional rural character.
-
E.
Madina
Madina is a major suburban town and commercial hub within Ghana’s Greater Accra Region.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.