Triple
T16477816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gibeonite treaty |
E400232
|
entity |
| Predicate | typeOfServitude |
P122928
|
FINISHED |
| Object | hewers of wood for the congregation |
—
|
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: hewers of wood for the congregation | Statement: [Gibeonite treaty, typeOfServitude, hewers of wood for the congregation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfServitude Context triple: [Gibeonite treaty, typeOfServitude, hewers of wood for the congregation]
-
A.
typeOfRight
Indicates the specific category or nature of a right that is held, exercised, or assigned in a given context.
-
B.
typeOfFeudalGrant
Indicates the specific kind or category of feudal grant that characterizes the relationship between a grantor and a grantee within a feudal system.
-
C.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
D.
collateralType
Indicates the kind or category of collateral associated with an obligation, agreement, or financial exposure.
-
E.
ownershipType
Indicates the specific nature or category of the ownership relationship that one entity holds over another.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e0013ac8190b607d5f47d17c501 |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24556c1348190902a4d116c3137d9 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:13 a.m.