Triple
T6357576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menton campus |
E143029
|
entity |
| Predicate | thematicOrientation |
P28568
|
FINISHED |
| Object | Middle Eastern and Mediterranean world |
—
|
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: Middle Eastern and Mediterranean world | Statement: [Menton campus, thematicOrientation, Middle Eastern and Mediterranean world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thematicOrientation Context triple: [Menton campus, thematicOrientation, Middle Eastern and Mediterranean world]
-
A.
thematicArea
chosen
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
B.
thematicMaterial
Indicates that one entity serves as the primary recurring idea, motif, or thematic content that is developed or referenced by another entity.
-
C.
themedAs
Indicates that something is characterized, styled, or organized according to a particular theme or motif.
-
D.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
E.
orientationPrinciple
Indicates the guiding rule or standard that directs how something is positioned, aligned, or oriented in relation to other things.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f5bdd481909cf9db595ddb27df |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.