Triple
T31739327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capitulations of Santa Fe |
E810090
|
entity |
| Predicate | profitShareFraction |
P172490
|
FINISHED |
| Object | one-tenth |
—
|
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: one-tenth | Statement: [Capitulations of Santa Fe, profitShareFraction, one-tenth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: profitShareFraction Context triple: [Capitulations of Santa Fe, profitShareFraction, one-tenth]
-
A.
receivesShareOf
Indicates that one entity is allocated or obtains a portion of something (such as profits, resources, or ownership) that is divided among multiple parties.
-
B.
portionForm
Indicates that one entity represents the specific form, shape, or configuration in which a portion of another entity is presented or structured.
-
C.
oilRevenueSharingRatio
Indicates the proportion in which oil-generated revenue is divided or shared between involved parties.
-
D.
distributorCut
Indicates that a distributor receives a specified share or percentage of revenue, profit, or proceeds from a transaction or product.
-
E.
parallelDivision
Indicates that one entity is divided or partitioned in a way that runs parallel to the division or partitioning of another entity.
- 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:24 p.m.