Triple
T34516037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamangwato |
E886153
|
entity |
| Predicate | historicalSettlementPattern |
P1830
|
FINISHED |
| Object | hilltop settlements for defense |
—
|
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: hilltop settlements for defense | Statement: [Bamangwato, historicalSettlementPattern, hilltop settlements for defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalSettlementPattern Context triple: [Bamangwato, historicalSettlementPattern, hilltop settlements for defense]
-
A.
historicalSettlementType
Indicates the type or category of settlement an entity was historically classified as (e.g., village, town, city) during a past period.
-
B.
hadPrimarySettlementPattern
chosen
Indicates that an entity exhibited or was characterized by a particular dominant form or arrangement of human settlement.
-
C.
historicalPeriodOfSettlement
Indicates the historical time period during which a particular settlement or habitation of a place occurred.
-
D.
originOfSettlement
Indicates the place, source, or starting point from which a settlement was established or originated.
-
E.
historicalPeriodOfIntensiveSettlement
Indicates the time span during which a place experienced particularly dense or concentrated settlement activity.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: May 1, 2026, 2:01 a.m.