Triple
T155934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Álvaro Obregón |
E3181
|
entity |
| Predicate | isPartly |
P35
|
FINISHED |
| Object | residential area |
—
|
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: residential area | Statement: [Álvaro Obregón, isPartly, residential area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartly Context triple: [Álvaro Obregón, isPartly, residential area]
-
A.
partlyDefinedBy
Indicates that one entity’s nature, role, or characteristics are only partially determined or specified by another entity.
-
B.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
C.
surfaceFreezesPartiallyIn
Indicates that a surface undergoes a freezing process in which only part of it becomes frozen within a given medium, environment, or container.
-
D.
isNotPartOf
Indicates that one entity does not belong to, is not contained within, and is not a component or member of another entity.
-
E.
participation
Indicates that an entity takes part in, contributes to, or is involved in a shared activity, event, or process with others.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.