Triple
T1781002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West End (Hartford) |
E39289
|
entity |
| Predicate | hasHousingStockAge |
P32323
|
FINISHED |
| Object | predominantly pre-World War II |
—
|
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: predominantly pre-World War II | Statement: [West End (Hartford), hasHousingStockAge, predominantly pre-World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHousingStockAge Context triple: [West End (Hartford), hasHousingStockAge, predominantly pre-World War II]
-
A.
hasNumberOfHouses
Indicates the quantity of houses associated with a given entity.
-
B.
hasPublicHousing
Indicates that a location or jurisdiction provides or contains government-funded residential housing available to the public.
-
C.
yearBuilt
Indicates the specific year in which something (typically a structure or object) was constructed or completed.
-
D.
urbanStatusSince
Indicates the point in time since which an entity has held an urban status or classification.
-
E.
numberOfHousingUnits
Indicates the total count of distinct housing units associated with an entity or within a specified area.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab74db3dbc8190ab256a4e158062b8 |
completed | March 7, 2026, 12:44 a.m. |
Created at: March 4, 2026, 7:31 p.m.