Triple
T35574308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signa Prime Selection |
E1028030
|
entity |
| Predicate | propertyLocationType |
P134880
|
FINISHED |
| Object | city centers |
—
|
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: city centers | Statement: [Signa Prime Selection, propertyLocationType, city centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyLocationType Context triple: [Signa Prime Selection, propertyLocationType, city centers]
-
A.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
-
B.
subjectLocationType
chosen
Indicates the type or category of location associated with the subject in the relationship.
-
C.
settingLocationType
Indicates the type or category of location in which an event, action, or situation takes place.
-
D.
locationProperty
Indicates that one entity specifies or characterizes a locational attribute or spatial property of another entity.
-
E.
propertyTypeOf
Indicates that one entity is the type or category of property to which another entity belongs.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:04 p.m.