Triple
T35012814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argonian tribes |
E1009975
|
entity |
| Predicate | relationshipToHist |
P206804
|
FINISHED |
| Object | take sap from Hist trees |
—
|
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: take sap from Hist trees | Statement: [Argonian tribes, relationshipToHist, take sap from Hist trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHist Context triple: [Argonian tribes, relationshipToHist, take sap from Hist trees]
-
A.
historicalRelationship
Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
-
B.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
-
C.
hasGenealogicalRelation
Indicates that there exists a family or ancestry-based relationship (such as parent, child, sibling, or more distant kinship) between the related entities.
-
D.
relationshipToUser
Indicates the type of connection or association an entity has with the current user.
-
E.
relationshipContext
Indicates the situational or social setting in which a relationship between entities exists or occurs.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:01 p.m.