Triple
T562640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cramond Island |
E13485
|
entity |
| Predicate | hasRemainsOf |
P16216
|
FINISHED |
| Object | military buildings |
—
|
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: military buildings | Statement: [Cramond Island, hasRemainsOf, military buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemainsOf Context triple: [Cramond Island, hasRemainsOf, military buildings]
-
A.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
B.
hasComb
Indicates that an entity possesses or is equipped with a comb.
-
C.
hasCurrent
Indicates that an entity presently possesses, exhibits, or is associated with a particular state, attribute, or resource at the current time.
-
D.
hasFullTextAvailableAt
Indicates that the complete text of a resource is accessible at a specified location or via a given link.
-
E.
hasCP
Indicates that an entity possesses, is associated with, or is characterized by a specific CP (such as a control point, contact person, or configuration parameter), depending on the domain context.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a700e608190b235246df057bd9b |
completed | March 1, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69a494c044648190a98589ab18935216 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498ff0c0081908947376a38b10d72 |
completed | March 1, 2026, 7:52 p.m. |
Created at: March 1, 2026, 7:32 p.m.