Triple
T18651702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mills Corporation |
E455955
|
entity |
| Predicate | propertyCharacteristics |
P127200
|
FINISHED |
| Object | large-scale retail complexes |
—
|
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: large-scale retail complexes | Statement: [The Mills Corporation, propertyCharacteristics, large-scale retail complexes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propertyCharacteristics Context triple: [The Mills Corporation, propertyCharacteristics, large-scale retail complexes]
-
A.
estateCharacteristic
chosen
Indicates that an estate possesses a particular attribute, quality, or defining feature.
-
B.
projectCharacteristics
Indicates the defining features, qualities, or attributes that characterize a particular project.
-
C.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
-
D.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
E.
houseTraitAssociation
Indicates an associative relationship between a house and a particular trait or characteristic attributed to it.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55011a8208190acf5e6f69a441043 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.