Triple
T1241015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beirut port explosion of 4 August 2020 |
E26656
|
entity |
| Predicate | homelessPeopleApprox |
P1943
|
FINISHED |
| Object | around 300,000 people |
—
|
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: around 300,000 people | Statement: [Beirut port explosion of 4 August 2020, homelessPeopleApprox, around 300,000 people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homelessPeopleApprox Context triple: [Beirut port explosion of 4 August 2020, homelessPeopleApprox, around 300,000 people]
-
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.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
C.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
-
D.
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.
-
E.
estimatedNumberEmancipated
Indicates the estimated count of individuals who have been emancipated.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf4343e48190a232abd8475880a0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.