Triple
T13642771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland Spring |
E326023
|
entity |
| Predicate | isPackagedForOfficeUse |
P111437
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Poland Spring, isPackagedForOfficeUse, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPackagedForOfficeUse Context triple: [Poland Spring, isPackagedForOfficeUse, true]
-
A.
supportsOffice
Indicates that one entity provides assistance, resources, or endorsement to an office or officeholder in performing its functions or maintaining its operations.
-
B.
hasOfficeComponent
Indicates that something includes, contains, or is composed of an office-related part or element.
-
C.
hasOfficeSoftware
Indicates that an entity possesses, includes, or is equipped with office productivity software.
-
D.
requiresOffice
Indicates that performing or fulfilling the related activity, role, or condition depends on being in or having access to a physical office location.
-
E.
launchedByOffice
Indicates that an office or organizational unit is responsible for initiating or launching a particular project, program, product, or action.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.