Triple
T20943953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belas Knap long barrow |
E515794
|
entity |
| Predicate | discoveredHumanRemains |
P92116
|
FINISHED |
| Object | multiple individuals |
—
|
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: multiple individuals | Statement: [Belas Knap long barrow, discoveredHumanRemains, multiple individuals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discoveredHumanRemains Context triple: [Belas Knap long barrow, discoveredHumanRemains, multiple individuals]
-
A.
numberOfUnidentifiedRemains
Indicates the count of human remains that have not yet been identified in a given context or case.
-
B.
bodiesExhumed
Indicates that previously buried bodies have been dug up and removed from their place of interment.
-
C.
rediscoveryOfRemains
Indicates the event or relationship in which previously discovered remains are found, identified, or brought to attention again after having been lost, forgotten, or overlooked.
-
D.
discoveredRemainsIn
chosen
Indicates that one entity found or uncovered the physical remains of another entity at a specific location.
-
E.
numberOfUnidentifiedBurials
Indicates the count of burial sites or graves where the interred individuals have not been identified.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f95838708190978dfa8bc786fb22 |
completed | April 21, 2026, 4:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:52 p.m.