Triple
T6928006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maeshowe |
E160359
|
entity |
| Predicate | hasEntrancePassageLength |
P73716
|
FINISHED |
| Object | about 10 metres |
—
|
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: about 10 metres | Statement: [Maeshowe, hasEntrancePassageLength, about 10 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntrancePassageLength Context triple: [Maeshowe, hasEntrancePassageLength, about 10 metres]
-
A.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
B.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
C.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
D.
hasEntranceStructure
Indicates that one entity possesses or is associated with a specific physical structure that serves as its entrance.
-
E.
entranceWidth
Indicates the measured horizontal span of an entrance opening that defines how wide the entry passage is.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da1de28881908579bc198e74203e |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bb577c81908ee8b415b4281f3d |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d98625c88190a37fdf6d95d7fcbd |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 2:27 p.m.