Triple
T37449106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Responder Program |
E930629
|
entity |
| Predicate | monitorsExposure |
P9979
|
FINISHED |
| Object | dust from World Trade Center collapse |
—
|
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: dust from World Trade Center collapse | Statement: [Responder Program, monitorsExposure, dust from World Trade Center collapse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monitorsExposure Context triple: [Responder Program, monitorsExposure, dust from World Trade Center collapse]
-
A.
monitors
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
B.
monitorsInstrument
Indicates that one entity observes, tracks, or checks the status or performance of an instrument over time.
-
C.
monitoredFor
chosen
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
D.
exposureLevel
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
E.
monitoringSince
Indicates that one entity has been continuously observing, tracking, or supervising another entity or process starting from a specified point in time.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.