Triple
T19613499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Elementary School |
E470794
|
entity |
| Predicate | stateISO |
P19238
|
FINISHED |
| Object | MA |
—
|
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: MA | Statement: [Ross Elementary School, stateISO, MA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateISO Context triple: [Ross Elementary School, stateISO, MA]
-
A.
stateOrTerritory
Indicates that one entity is a state or territory that is politically or administratively associated with another entity.
-
B.
provinceState
Indicates that one entity is a province or state that is administratively contained within or associated with another, typically larger, territorial entity.
-
C.
stateName
chosen
Indicates that an entity is identified by or associated with a particular state’s name.
-
D.
stateOrRegion
Indicates that one entity is a state or region in which the other entity is located or with which it is associated.
-
E.
states
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cd5de48190a9f7bab4da3f5b5a |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.