Triple
T28053105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Passage Enchanté d’Aladdin |
E708880
|
entity |
| Predicate | includesLocations |
P110149
|
FINISHED |
| Object | Agrabah |
—
|
NE NERFINISHED |
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: [Le Passage Enchanté d’Aladdin, includesLocations, Agrabah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesLocations Context triple: [Le Passage Enchanté d’Aladdin, includesLocations, Agrabah]
-
A.
zonesInclude
Indicates that one zone spatially or logically contains or encompasses another zone.
-
B.
includesCountriesWith
Indicates that something contains or encompasses one or more specified countries as part of its scope or composition.
-
C.
includedTerritoryType
Indicates that one territory type is contained within, or forms part of, another territory type.
-
D.
coversLocality
Indicates that one entity spatially includes or encompasses the area or extent of a specified locality.
-
E.
includesAreaOf
chosen
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
- F. None of above.
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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: April 27, 2026, 8:34 p.m.