Triple
T263581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Equity Conversion Mortgage program |
E5804
|
entity |
| Predicate | appliesToPropertyType |
P9380
|
FINISHED |
| Object | single-family homes |
—
|
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: single-family homes | Statement: [Home Equity Conversion Mortgage program, appliesToPropertyType, single-family homes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToPropertyType Context triple: [Home Equity Conversion Mortgage program, appliesToPropertyType, single-family homes]
-
A.
appliesTo
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
B.
appliesToPosition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable to a specific position or role.
-
C.
appliesAt
Indicates that an action, rule, or condition is relevant to or in effect at a specific location, context, or point in time.
-
D.
hasPropertyType
Indicates that an entity possesses or is associated with a specific type or category of property.
-
E.
appliesAcross
Indicates that a condition, rule, or property holds uniformly over multiple items, cases, or contexts.
- 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_69a258dd8ea08190ac554a1cc8dfd8c3 |
completed | Feb. 28, 2026, 2:54 a.m. |
| NER | Named-entity recognition | batch_69a25d8e809881908a58c9a4e3ba07c3 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d0ec71081908478c800be4f7bb0 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.