Triple
T38287518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JeffVanderLou |
E1022256
|
entity |
| Predicate | hasHousingStockCondition |
P166478
|
FINISHED |
| Object | mix of occupied and vacant structures |
—
|
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: mix of occupied and vacant structures | Statement: [JeffVanderLou, hasHousingStockCondition, mix of occupied and vacant structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHousingStockCondition Context triple: [JeffVanderLou, hasHousingStockCondition, mix of occupied and vacant structures]
-
A.
hasHousingStockAge
Indicates the relationship between an entity and the age or period of construction of its available housing stock.
-
B.
houseStatus
chosen
Indicates the current condition or state of a house, such as whether it is occupied, vacant, under construction, or otherwise categorized.
-
C.
buildingCondition
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
-
D.
hasHousingArrangement
Indicates that an entity has a specific type or status of housing or living arrangement in relation to another entity or context.
-
E.
homeStatus
Indicates the current condition or state of a home in relation to a specified context (such as occupancy, availability, or operational status).
- 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_69f76df190f081908d5aa02c8a9286d0 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe7b1c506c8190869c1a22031e0571 |
completed | May 9, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69fe796b2bdc8190a86980d44008f875 |
completed | May 9, 2026, 12:01 a.m. |
Created at: May 3, 2026, 4:30 p.m.