Triple
T8461227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Euston Hotel |
E200042
|
entity |
| Predicate | hasDistinctiveShape |
P82774
|
FINISHED |
| Object | crescent-shaped plan |
—
|
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: crescent-shaped plan | Statement: [North Euston Hotel, hasDistinctiveShape, crescent-shaped plan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctiveShape Context triple: [North Euston Hotel, hasDistinctiveShape, crescent-shaped plan]
-
A.
hasIrregularShape
Indicates that an entity possesses a form or outline that deviates from a regular, standard, or symmetrical shape.
-
B.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
C.
hasBillShape
Indicates that one entity has a bill whose shape matches the specified form or category.
-
D.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
E.
hasIconicRoofShape
Indicates that an entity possesses a roof with a distinctive, widely recognized, or characteristic shape.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4a0ff4c8190b17bbd33db632cea |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.