Triple
T22685023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Sipán |
E560887
|
entity |
| Predicate | numberOfCompanionsBuried |
P95901
|
FINISHED |
| Object | several |
—
|
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: several | Statement: [Lord of Sipán, numberOfCompanionsBuried, several]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCompanionsBuried Context triple: [Lord of Sipán, numberOfCompanionsBuried, several]
-
A.
numberOfBurials
Indicates the total count of burial events associated with a given entity.
-
B.
numberOfInterred
chosen
Indicates the total count of individuals who are buried or interred at a given site or within a specified context.
-
C.
numberOfGravesApproximate
Indicates that the stated count of graves is an estimated or approximate number rather than an exact figure.
-
D.
eraOfMostBurials
Indicates the historical time period during which the greatest number of burials occurred for a given site or context.
-
E.
fellAndBuried
Indicates that one entity fell and consequently became buried, typically under some material or surface.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17862c8a48190912a8ad09dfda795 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:12 p.m.