Triple
T3732529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skowhegan Free Public Library |
E79099
|
entity |
| Predicate | hasRoleInCommunity |
P51333
|
FINISHED |
| Object | promotes literacy |
—
|
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: promotes literacy | Statement: [Skowhegan Free Public Library, hasRoleInCommunity, promotes literacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInCommunity Context triple: [Skowhegan Free Public Library, hasRoleInCommunity, promotes literacy]
-
A.
hasRoleInNetwork
Indicates that an entity holds a specific functional position or responsibility within a particular network.
-
B.
hasCommunityIn
Indicates that a community is present, active, or established within a specified location, platform, or context.
-
C.
hasSubcommunityIn
Indicates that a larger community contains or encompasses a smaller, distinct subcommunity located within it.
-
D.
hasCommunityType
Indicates that an entity is associated with or classified under a particular type or category of community.
-
E.
hasCommunityArea
Indicates that an entity is associated with, located in, or belongs to a particular community area.
- 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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb2277a48190ae7594c4c4965a01 |
completed | March 8, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc45debe48190b1c1f894e02b0316 |
completed | March 8, 2026, 6:47 p.m. |
Created at: March 8, 2026, 3:34 p.m.