Triple
T29340271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mêlée Island |
E744018
|
entity |
| Predicate | primaryLocationIn |
P203067
|
FINISHED |
| Object | Monkey Island series |
—
|
NE NERFINISHED |
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: Monkey Island series | Statement: [Mêlée Island, primaryLocationIn, Monkey Island series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLocationIn Context triple: [Mêlée Island, primaryLocationIn, Monkey Island series]
-
A.
primaryLocationCity
Indicates the city that serves as the main or primary location associated with the subject.
-
B.
primaryPostingLocation
Indicates the main or default location where an entity (such as a message, job, or content item) is originally posted or primarily published.
-
C.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
D.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
E.
primaryTown
Indicates that a given town is the main or most important town associated with an entity (such as a person, organization, or region).
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
| PDg | Predicate description generation | batch_6a011c645b68819092ccbb14c1a4c454 |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 28, 2026, 1:33 p.m.