Triple
T24059368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Anne, Maryland |
E595898
|
entity |
| Predicate | housingUnitsCensus2000 |
P19276
|
FINISHED |
| Object | 66 |
—
|
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: 66 | Statement: [Queen Anne, Maryland, housingUnitsCensus2000, 66]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: housingUnitsCensus2000 Context triple: [Queen Anne, Maryland, housingUnitsCensus2000, 66]
-
A.
numberOfHousingUnits
chosen
Indicates the total count of distinct housing units associated with an entity or within a specified area.
-
B.
hasHousingUnits
Indicates that an entity possesses or contains a specified number or set of housing units.
-
C.
householdsCensus2010
Indicates the number of households recorded in the 2010 census for a given geographic or administrative unit.
-
D.
numberOfHouses
Indicates the quantity of houses associated with a given entity or context.
-
E.
housingPattern
Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da543e74819083ebea41ca20e0e9 |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:36 p.m.