Triple
T37623224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia Town Center Lakefront |
E936129
|
entity |
| Predicate | developerOfSurroundingArea |
P196032
|
FINISHED |
| Object | The Rouse Company |
—
|
NE NERFINISHED |
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: The Rouse Company | Statement: [Columbia Town Center Lakefront, developerOfSurroundingArea, The Rouse Company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developerOfSurroundingArea Context triple: [Columbia Town Center Lakefront, developerOfSurroundingArea, The Rouse Company]
-
A.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
B.
hasNearbyProductionArea
Indicates that one entity has a production area located in close physical proximity to it.
-
C.
hasNearbyDevelopment
Indicates that a development or construction project exists in close physical proximity to the referenced entity.
-
D.
relatedVenueArea
Indicates that a venue is associated with or located within a particular geographic or spatial area.
-
E.
nearbyRegionCharacterizedBy
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: May 3, 2026, 4:18 p.m.