Triple
T38132582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thirteen |
E952262
|
entity |
| Predicate | previousAreaTheme |
P201599
|
FINISHED |
| Object | Ug Land |
—
|
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: Ug Land | Statement: [Thirteen, previousAreaTheme, Ug Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousAreaTheme Context triple: [Thirteen, previousAreaTheme, Ug Land]
-
A.
previousThemeParkArea
Indicates that one theme park area directly preceded another in time or sequence within the park’s development or layout.
-
B.
zoneTheme
Indicates that a particular zone or area is associated with, or characterized by, a specific theme or thematic setting.
-
C.
shapeTheme
Indicates a relationship where one entity’s form, outline, or geometric characteristics serve as a central motif or organizing principle for another entity.
-
D.
abilityTheme
Indicates that an entity possesses, embodies, or is characterized by a particular ability or capability.
-
E.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a000a1d8fa88190a1d82ac746565c48 |
completed | May 10, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_6a0008b26eb88190ae03b2309a614774 |
completed | May 10, 2026, 4:25 a.m. |
| PDg | Predicate description generation | batch_6a000a1c8f8881908293ab4f7207d25f |
completed | May 10, 2026, 4:31 a.m. |
Created at: May 3, 2026, 4:21 p.m.