Triple
T16337955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nuraghe |
E396723
|
entity |
| Predicate | estimatedCount |
P120121
|
FINISHED |
| Object | over 7000 sites identified |
—
|
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: over 7000 sites identified | Statement: [Nuraghe, estimatedCount, over 7000 sites identified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedCount Context triple: [Nuraghe, estimatedCount, over 7000 sites identified]
-
A.
estimatedNumberOfItems
chosen
Indicates the approximate count or quantity of items associated with the subject, typically when the exact number is unknown or uncertain.
-
B.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
C.
estimatedMemberCount
Indicates the approximate or predicted number of members associated with an entity.
-
D.
mineCountApproximate
Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
-
E.
lapCountApproximate
Indicates that the recorded number of laps is an estimate rather than an exact, precise count.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e6338081908aa03ee3dcbe5f70 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.