Triple
T37515083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Templar |
E932613
|
entity |
| Predicate | startingLocationOnPassiveTree |
P389
|
FINISHED |
| Object | between Strength and Intelligence areas |
—
|
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: between Strength and Intelligence areas | Statement: [Templar, startingLocationOnPassiveTree, between Strength and Intelligence areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingLocationOnPassiveTree Context triple: [Templar, startingLocationOnPassiveTree, between Strength and Intelligence areas]
-
A.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
B.
startPointLocatedIn
Indicates that the starting point of something is geographically or spatially located within a specified area or region.
-
C.
firstEnumerationLocation
Indicates the location where an entity was first officially enumerated, recorded, or listed.
-
D.
startPoint
chosen
Indicates the initial location or position from which an object, path, or action begins.
-
E.
originalGroundLocation
Indicates the initial or primary ground-based location associated with an entity before any movement or relocation.
- 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_69f76ec730988190b5aa4f9cb9afd518 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0115fb84448190b8b67a5ace7b289a |
completed | May 10, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_6a0114ef60a081908f8db7868cf29b2f |
completed | May 10, 2026, 11:29 p.m. |
Created at: May 3, 2026, 4:17 p.m.