Triple
T29654210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wings of Liberty |
E750224
|
entity |
| Predicate | focusesOnFaction |
P100025
|
FINISHED |
| Object | Terran |
—
|
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: Terran | Statement: [Wings of Liberty, focusesOnFaction, Terran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnFaction Context triple: [Wings of Liberty, focusesOnFaction, Terran]
-
A.
factionFocus
chosen
Indicates that an entity is primarily oriented toward, aligned with, or concentrated on a particular faction as its main focus.
-
B.
hasAllianceFocus
Indicates that an entity is oriented toward, prioritizes, or concentrates its efforts on maintaining or developing an alliance relationship with another entity.
-
C.
focusesOnMilitaryUnit
Indicates that an entity’s attention, activity, or content is directed primarily toward a specific military unit.
-
D.
hasOpposingFaction
Indicates that one faction stands in opposition or conflict to another faction.
-
E.
focusesOnCivilization
Indicates that an entity’s primary subject, concern, or activity is centered on a particular civilization or civilizations.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: April 28, 2026, 6:54 p.m.