Triple
T11061720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Typhoon Haiyan |
E261522
|
entity |
| Predicate | missingPersons_estimate |
P87238
|
FINISHED |
| Object | over 1000 |
—
|
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: over 1000 | Statement: [Typhoon Haiyan, missingPersons_estimate, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missingPersons_estimate Context triple: [Typhoon Haiyan, missingPersons_estimate, over 1000]
-
A.
missingPersonsEstimate
chosen
Indicates an estimated number of people who are unaccounted for or reported missing in a given context or event.
-
B.
estimatedPrisoners
Indicates a relationship where a value represents the estimated number of prisoners associated with a particular entity or context.
-
C.
numberOfSuspectedVictims
Indicates the count of individuals believed or alleged to be victims in a particular incident, case, or context.
-
D.
numberOfUnidentifiedRemains
Indicates the count of human remains that have not yet been identified in a given context or case.
-
E.
populationEstimateLoss
Indicates a reduction or decrease in a previously estimated population size.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.