Triple
T14270049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Hamra Real Estate Company |
E353755
|
entity |
| Predicate | buildingTypeSpecialization |
P1844
|
FINISHED |
| Object | office towers |
—
|
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: office towers | Statement: [Al Hamra Real Estate Company, buildingTypeSpecialization, office towers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingTypeSpecialization Context triple: [Al Hamra Real Estate Company, buildingTypeSpecialization, office towers]
-
A.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
C.
propertyTypeSpecialization
Indicates that one property type is a more specific or specialized version of another, more general property type.
-
D.
intendedBuildingType
Indicates the type of building that something is planned or designed to be.
-
E.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.