Triple
T37458855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinkertown Technician |
E930866
|
entity |
| Predicate | hasSynergyWithTribe |
P187886
|
FINISHED |
| Object | Mech |
—
|
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: Mech | Statement: [Tinkertown Technician, hasSynergyWithTribe, Mech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSynergyWithTribe Context triple: [Tinkertown Technician, hasSynergyWithTribe, Mech]
-
A.
classTribeSynergy
Indicates a synergistic relationship where a character’s class and tribe traits interact to provide combined or enhanced effects.
-
B.
hasRelatedTribe
Indicates that one tribe is associated or connected to another tribe in some relevant way, such as by kinship, alliance, or shared characteristics.
-
C.
tribeSynergy
chosen
Indicates a cooperative or mutually enhancing relationship among members of the same tribe or group, where their combined presence or actions produce greater overall effectiveness than they would individually.
-
D.
hasTribalAssociation
Indicates that an entity is affiliated with, belongs to, or is formally associated with a particular tribe or tribal group.
-
E.
usedByTribe
Indicates that something is utilized or employed by a particular tribe.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.