Triple
T36925573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramita Campus |
E913333
|
entity |
| Predicate | hasAdministrativeSpaces |
P196568
|
FINISHED |
| Object | administrative offices |
—
|
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: administrative offices | Statement: [Paramita Campus, hasAdministrativeSpaces, administrative offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdministrativeSpaces Context triple: [Paramita Campus, hasAdministrativeSpaces, administrative offices]
-
A.
hasAdministrativeContext
Indicates that an entity is associated with a particular administrative setting, scope, or jurisdiction that defines how it is governed, managed, or regulated.
-
B.
hasAdministrativeType
Indicates that an entity is associated with a specific category or level of administrative classification (such as type of jurisdiction or administrative unit).
-
C.
hasPublicSpaceRole
Indicates that an entity holds a specific role, function, or responsibility within a public space.
-
D.
hasUserSpaceComponent
Indicates that something includes, is associated with, or is composed of a component that resides in or operates within user space.
-
E.
hasAdministratorUsers
Indicates that an entity is associated with one or more users who have administrative privileges or responsibilities over it.
- F. None of above. chosen
Provenance (4 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:13 p.m.