Triple
T6326726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazard Mitigation Grant Program |
E141879
|
entity |
| Predicate | typicalProjectType |
P37446
|
FINISHED |
| Object | property acquisition and structure demolition |
—
|
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: property acquisition and structure demolition | Statement: [Hazard Mitigation Grant Program, typicalProjectType, property acquisition and structure demolition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProjectType Context triple: [Hazard Mitigation Grant Program, typicalProjectType, property acquisition and structure demolition]
-
A.
typicalProjectTypes
chosen
Indicates the kinds or categories of projects that are most commonly or characteristically associated with a given entity.
-
B.
typeOfProject
Indicates the specific category or kind of project that an entity is associated with or classified under.
-
C.
notableProjectType
Indicates the type or category of a project for which an entity is particularly well-known or notable.
-
D.
typicalProductionType
Indicates the usual or characteristic type of production activity associated with an entity.
-
E.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e833a0819096000b47e776949d |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:29 p.m.