Triple
T31057890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matanzas Inlet |
E791444
|
entity |
| Predicate | isUnimproved |
P170702
|
FINISHED |
| Object | not stabilized by jetties |
—
|
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: not stabilized by jetties | Statement: [Matanzas Inlet, isUnimproved, not stabilized by jetties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUnimproved Context triple: [Matanzas Inlet, isUnimproved, not stabilized by jetties]
-
A.
cannotBeImprovedTo
Indicates that one entity cannot be enhanced, upgraded, or made better into the state or form represented by another entity.
-
B.
hasImproved
Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
-
C.
improvesIn
Indicates that one entity causes or contributes to an increase in quality, performance, or effectiveness in another entity or context.
-
D.
isArtificiallyImproved
Indicates that an entity has been enhanced or modified through artificial or human-made means beyond its original or natural state.
-
E.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695741ff88190bfa0318a7156b187 |
completed | May 3, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9 p.m.