Triple
T20085289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Hampshire Grants |
E500109
|
entity |
| Predicate | grantPattern |
P138661
|
FINISHED |
| Object | township grants |
—
|
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: township grants | Statement: [New Hampshire Grants, grantPattern, township grants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantPattern Context triple: [New Hampshire Grants, grantPattern, township grants]
-
A.
grantType
Indicates the specific authorization or credential flow used to obtain access or permissions in a grant-based process.
-
B.
grantUse
Indicates that one entity gives another entity permission or authorization to use something.
-
C.
grantStructure
Indicates that an entity provides or defines the organizational or structural framework for another entity or process.
-
D.
grantLocation
Indicates that an entity is located at, based in, or associated with a particular place or geographic location.
-
E.
typeOfGrant
Indicates the specific category or kind of grant associated with an entity.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655ae9ec8190bde2f17452639de8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:41 p.m.