Triple
T621938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Andrews |
E14531
|
entity |
| Predicate | foundedAsBurgh |
P364
|
FINISHED |
| Object | royal burgh |
—
|
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: royal burgh | Statement: [St Andrews, foundedAsBurgh, royal burgh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsBurgh Context triple: [St Andrews, foundedAsBurgh, royal burgh]
-
A.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
B.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
C.
foundedBefore
Indicates that one entity was established or created at an earlier time than the other entity.
-
D.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
E.
placeFounded
Indicates the location where an entity (such as an organization or institution) was originally established or founded.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e402d9c8190936896e3ebb6edc5 |
completed | March 1, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69a49cfe9bc081909a01b4b3b48f03b7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.