Triple
T27164958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santiago to follow his Personal Legend |
E682756
|
entity |
| Predicate | hasStartingLocation |
P39115
|
FINISHED |
| Object | Andalusia |
—
|
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: Andalusia | Statement: [Santiago to follow his Personal Legend, hasStartingLocation, Andalusia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStartingLocation Context triple: [Santiago to follow his Personal Legend, hasStartingLocation, Andalusia]
-
A.
hasStartLandmark
Indicates that an entity begins, originates, or is initially located at a specified landmark.
-
B.
hasStartingArea
chosen
Indicates that an entity is associated with, or begins from, a specific initial area or region.
-
C.
startPointLocatedIn
Indicates that the starting point of something is geographically or spatially located within a specified area or region.
-
D.
eraStartLocation
Indicates the place where a particular era or time period begins or is initiated.
-
E.
hasOpeningSequenceLocation
Indicates the specific location where the opening sequence of something (such as a film, show, or event) takes place.
- 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_69eefacf6e788190a75a64399d9e3109 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 27, 2026, 9:20 a.m.