Triple
T21406485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midaq Alley |
E528047
|
entity |
| Predicate | adaptationSettingChange |
P122836
|
FINISHED |
| Object | from Cairo alley to Mexico City neighborhood (in Mexican film) |
—
|
LITERAL 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: from Cairo alley to Mexico City neighborhood (in Mexican film) | Statement: [Midaq Alley, adaptationSettingChange, from Cairo alley to Mexico City neighborhood (in Mexican film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationSettingChange Context triple: [Midaq Alley, adaptationSettingChange, from Cairo alley to Mexico City neighborhood (in Mexican film)]
-
A.
revisedSetting
chosen
Indicates that an existing setting or configuration has been modified or updated from its previous state.
-
B.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
C.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
-
D.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
E.
adjustmentType
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:32 p.m.