Triple
T26076725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Baltimore |
E657703
|
entity |
| Predicate | hasRedevelopmentFocusArea |
P70431
|
FINISHED |
| Object | Inner Harbor |
—
|
NE NERFINISHED |
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: Inner Harbor | Statement: [Economy of Baltimore, hasRedevelopmentFocusArea, Inner Harbor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedevelopmentFocusArea Context triple: [Economy of Baltimore, hasRedevelopmentFocusArea, Inner Harbor]
-
A.
hasRedevelopedArea
chosen
Indicates that an entity has an area that has been improved, renovated, or rebuilt from its previous state.
-
B.
hasRedevelopmentGoal
Indicates that an entity is associated with a specific objective or target related to redevelopment or renewal activities.
-
C.
hasRedevelopmentProgram
Indicates that an entity is subject to or involved in a planned process of redevelopment, typically through an organized program or initiative.
-
D.
hasRedevelopmentRole
Indicates that an entity plays a specific role or function in the process of redeveloping another entity, such as a project, site, or asset.
-
E.
isRedevelopmentOf
Indicates that one entity is a newer or modified version created by redeveloping, replacing, or substantially transforming another pre-existing entity.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 26, 2026, 7:34 p.m.