Triple
T3035983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lamb |
E83008
|
entity |
| Predicate | humanSettlementStatus |
P45139
|
FINISHED |
| Object | uninhabited |
—
|
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: uninhabited | Statement: [The Lamb, humanSettlementStatus, uninhabited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanSettlementStatus Context triple: [The Lamb, humanSettlementStatus, uninhabited]
-
A.
hasCityStatusSettlement
Indicates that a settlement possesses official recognition or designation as a city.
-
B.
humanSettlementType
Indicates the classification of a human settlement based on its form or function, such as village, town, or city.
-
C.
hasTownStatus
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
-
D.
hasHumanSettlement
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
E.
hasPopulationStatus
Indicates the current demographic condition or classification of a population associated with an 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2bb60c8190b1721f832f2581a1 |
completed | March 8, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69ad961e2a408190afb1759132701305 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 3:01 p.m.