Triple
T12077905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcy Dam area |
E287598
|
entity |
| Predicate | damPartiallyRemoved |
P23714
|
FINISHED |
| Object | after damage from Tropical Storm Irene in 2011 |
—
|
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: after damage from Tropical Storm Irene in 2011 | Statement: [Marcy Dam area, damPartiallyRemoved, after damage from Tropical Storm Irene in 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damPartiallyRemoved Context triple: [Marcy Dam area, damPartiallyRemoved, after damage from Tropical Storm Irene in 2011]
-
A.
partiallyDestroyed
chosen
Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
-
B.
partlyDismantledBy
Indicates that an entity has been only partially taken apart, removed, or deconstructed by another agent or process.
-
C.
damRemovalProject
Indicates a project or initiative undertaken to remove, dismantle, or decommission a dam.
-
D.
damRemovalSignificance
Indicates the importance or impact of removing a dam within a given environmental, social, or infrastructural context.
-
E.
damState
Indicates the operational or physical condition a dam is currently in, such as its status, integrity, or level of functionality.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bf4f508190842927e7e0642235 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.