Triple
T2705418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Fire of Portland 1866 |
E59329
|
entity |
| Predicate | numberOfHomeless |
P36920
|
FINISHED |
| Object | approximately 10000 |
—
|
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 10000 | Statement: [Great Fire of Portland 1866, numberOfHomeless, approximately 10000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfHomeless Context triple: [Great Fire of Portland 1866, numberOfHomeless, approximately 10000]
-
A.
hasNumberOfHomeless
chosen
Indicates the quantified count of homeless individuals associated with a given entity or context.
-
B.
estimatedHomeless
Indicates that a person or group is assessed or classified as likely experiencing homelessness, typically based on estimation rather than confirmed status.
-
C.
estimatedNumberEmancipated
Indicates the estimated count of individuals who have been emancipated.
-
D.
hasPublicHousing
Indicates that a location or jurisdiction provides or contains government-funded residential housing available to the public.
-
E.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda559a908190ad5d92c11a398a03 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.