Triple
T37455816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alchemist (Torchlight) |
E930795
|
entity |
| Predicate | hasStatFocus |
P202421
|
FINISHED |
| Object | magic attribute |
—
|
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: magic attribute | Statement: [Alchemist (Torchlight), hasStatFocus, magic attribute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStatFocus Context triple: [Alchemist (Torchlight), hasStatFocus, magic attribute]
-
A.
hasSTIFocus
Indicates that something has a primary focus or emphasis within a science, technology, and innovation (STI) context.
-
B.
stateOfFocus
Indicates the particular subject, area, or activity that an entity is currently concentrating attention or effort on.
-
C.
hadFocus
Indicates that an entity previously possessed or maintained primary attention, emphasis, or priority within a given context or interaction.
-
D.
hasFocusBehavior
Indicates that an entity exhibits a particular behavior or set of actions when it gains or has input focus.
-
E.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a007dd341108190a1d03eab46041694 |
completed | May 10, 2026, 12:45 p.m. |
| PD | Predicate disambiguation | batch_6a007b1fe2a881909ec50a1e65e4651b |
completed | May 10, 2026, 12:33 p.m. |
| PDg | Predicate description generation | batch_6a007dd263b48190bd5de5386d45858b |
completed | May 10, 2026, 12:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.