Triple
T849953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Fire of London |
E18361
|
entity |
| Predicate | numberOfPeopleHomeless |
P1943
|
FINISHED |
| Object | tens of thousands |
—
|
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: tens of thousands | Statement: [Great Fire of London, numberOfPeopleHomeless, tens of thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleHomeless Context triple: [Great Fire of London, numberOfPeopleHomeless, tens of thousands]
-
A.
estimatedHomeless
Indicates that a person or group is assessed or classified as likely experiencing homelessness, typically based on estimation rather than confirmed status.
-
B.
estimatedNumberEmancipated
Indicates the estimated count of individuals who have been emancipated.
-
C.
displacedPeopleEstimate
chosen
Indicates an estimated number of people who have been forced to leave their homes or usual places of residence due to a particular event or situation.
-
D.
numberOfHousingUnits
Indicates the total count of distinct housing units associated with an entity or within a specified area.
-
E.
estimatedNumberOfPeopleSaved
Indicates the approximate count of individuals whose lives were preserved or harm was averted as a result of a particular action, intervention, or entity.
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac215194819099e6bc1b5df58fb3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.