Triple
T34575365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rochor River (historical alignment context) |
E887737
|
entity |
| Predicate | alignmentChangedDueTo |
P154915
|
FINISHED |
| Object | urban redevelopment |
—
|
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: urban redevelopment | Statement: [Rochor River (historical alignment context), alignmentChangedDueTo, urban redevelopment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentChangedDueTo Context triple: [Rochor River (historical alignment context), alignmentChangedDueTo, urban redevelopment]
-
A.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
B.
alignmentControl
Indicates that one entity manages, adjusts, or enforces the positional or structural alignment of another entity.
-
C.
resultedInRealignment
chosen
Indicates that one event or action caused a significant change or restructuring in the arrangement, organization, or alignment of entities or relationships.
-
D.
alignmentHistory
Indicates the historical record of how an entity’s alignment or stance has changed or been maintained over time in relation to another entity or standard.
-
E.
alignmentShape
Indicates that one entity’s shape is arranged, oriented, or matched in position relative to another entity’s shape.
- 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7209895288190ae44354012537e8e |
completed | May 3, 2026, 10:16 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:03 a.m.