Triple
T9351852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lligwy Burial Chamber |
E225036
|
entity |
| Predicate | capstoneShape |
P1464
|
FINISHED |
| Object | roughly rectangular |
—
|
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: roughly rectangular | Statement: [Lligwy Burial Chamber, capstoneShape, roughly rectangular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capstoneShape Context triple: [Lligwy Burial Chamber, capstoneShape, roughly rectangular]
-
A.
coreShape
Indicates that one entity serves as the primary or central shape or geometric form of another entity.
-
B.
shape
chosen
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
C.
summitShape
Indicates the geometric form or contour that characterizes the topmost point or summit of an object or landform.
-
D.
الشكل
Indicates a relationship where one entity represents, takes, or describes the form, shape, or configuration of another entity.
-
E.
baseShape
Indicates that one entity serves as the fundamental or underlying shape or form upon which another entity is defined, derived, or constructed.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f93a9848190ad2ae24f2aa607d2 |
completed | April 1, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:41 p.m.