Triple
T5803303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trellick Tower |
E128678
|
entity |
| Predicate | hasPublicPerceptionHistory |
P39479
|
FINISHED |
| Object | initially controversial |
—
|
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: initially controversial | Statement: [Trellick Tower, hasPublicPerceptionHistory, initially controversial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicPerceptionHistory Context triple: [Trellick Tower, hasPublicPerceptionHistory, initially controversial]
-
A.
hasPublicPerception
chosen
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
B.
hasHistoryNote
Indicates that there is an associated historical note or record describing past events, changes, or context related to the subject.
-
C.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
D.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
E.
hasPolicyHistory
Indicates that an entity is associated with a record or sequence of past policies that have applied to it over time.
- 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_69c00846a0d881909e46841f8e156b64 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.