Triple
T7743840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starving Time (1609–1610) |
E175574
|
entity |
| Predicate | numberOfInitialSettlers |
P78459
|
FINISHED |
| Object | approximately 240 |
—
|
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: approximately 240 | Statement: [Starving Time (1609–1610), numberOfInitialSettlers, approximately 240]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInitialSettlers Context triple: [Starving Time (1609–1610), numberOfInitialSettlers, approximately 240]
-
A.
numberOfOriginalSettlerFamilies
Indicates the count of distinct families that were part of the initial group of settlers in a given place or community.
-
B.
numberOfSettlersCaptured
Indicates the quantity of settlers who have been taken captive in a given context or event.
-
C.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
D.
firstPermanentSettler
Indicates that the subject is the earliest individual or group to establish a lasting, continuous residence in the location or entity specified by the object.
-
E.
settlerOf
Indicates that an entity established or inhabited a place as a settler of that location.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:07 p.m.