Triple
T25524126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinhalese kingdoms of Sri Lanka |
E639732
|
entity |
| Predicate | earliestKingdom |
P159769
|
FINISHED |
| Object | Anuradhapura Kingdom |
—
|
NE NERFINISHED |
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: Anuradhapura Kingdom | Statement: [Sinhalese kingdoms of Sri Lanka, earliestKingdom, Anuradhapura Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earliestKingdom Context triple: [Sinhalese kingdoms of Sri Lanka, earliestKingdom, Anuradhapura Kingdom]
-
A.
earliestKnownCivilization
Indicates that the subject is recognized as the first or oldest known civilization associated with the object (such as a region, culture, or time period).
-
B.
foundedKingdom
Indicates that an entity established or created a kingdom as its founder.
-
C.
earliestMajorEmpire
Indicates that the subject is the earliest major empire associated with, or relevant to, the given object in time.
-
D.
eraOfHistoricalKingdom
Indicates the historical time period during which a particular kingdom existed or held prominence.
-
E.
earliestPermanentSettlement
Indicates that one entity is the location or instance of the first long-term, continuously inhabited settlement associated with 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f85e975c8190bdadf34f099f3614 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 21, 2026, 3:09 p.m.