Triple
T32007934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New London, Texas |
E817320
|
entity |
| Predicate | hasPrimarySchoolDisaster |
P15089
|
FINISHED |
| Object | New London School explosion |
—
|
NE NERFINISHED |
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: New London School explosion | Statement: [New London, Texas, hasPrimarySchoolDisaster, New London School explosion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimarySchoolDisaster Context triple: [New London, Texas, hasPrimarySchoolDisaster, New London School explosion]
-
A.
hasDisaster
chosen
Indicates that an entity experiences, is affected by, or is associated with a disaster event.
-
B.
hasPrimaryEducationFacilityType
Indicates the type or category of primary education facility associated with an entity.
-
C.
hasDisasterElement
Indicates that something includes, involves, or is characterized by an element or aspect of a disaster.
-
D.
primarySchoolInvolved
Indicates that a primary school participates in, is affected by, or plays a role in the specified event, situation, or relationship.
-
E.
hasPrimaryAndSecondarySchool
Indicates that an entity provides or includes both primary-level and secondary-level schooling within its educational offerings.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
Created at: May 1, 2026, 12:15 a.m.