Triple
T37513634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flayer Jungle |
E932575
|
entity |
| Predicate | monsterTypePresent |
P36903
|
FINISHED |
| Object | Flayer |
—
|
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: Flayer | Statement: [Flayer Jungle, monsterTypePresent, Flayer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monsterTypePresent Context triple: [Flayer Jungle, monsterTypePresent, Flayer]
-
A.
hasCreature
chosen
Indicates that one entity possesses, contains, or is associated with a particular creature.
-
B.
mentionsCreature
Indicates that one entity refers to or brings up a particular creature in some form of communication or content.
-
C.
featuresMonster
Indicates that something includes or prominently presents a monster as part of its content or composition.
-
D.
monsterCharacteristic
Indicates that a monster possesses a particular attribute, trait, or quality.
-
E.
associatedWithMonster
Indicates a relationship in which an entity is connected or linked in some notable way to a monster.
- 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_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.