Triple
T1397807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACT |
E30706
|
entity |
| Predicate | hasAbbreviationForRegion |
P27729
|
FINISHED |
| Object | ACT |
—
|
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: ACT | Statement: [ACT, hasAbbreviationForRegion, ACT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbbreviationForRegion Context triple: [ACT, hasAbbreviationForRegion, ACT]
-
A.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
B.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
C.
hasRegionCode
Indicates that an entity is associated with a specific regional identifier or code.
-
D.
hasPostalAbbreviationProvince
Indicates that a province is associated with a specific standardized postal abbreviation used in mailing addresses.
-
E.
hasPostalAbbreviationState
Indicates that a state is associated with a specific standardized postal abbreviation.
- F. None of above. chosen
Provenance (4 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c382b6588190833c39ac84fb6139 |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c13270d8819081d8ee1be34cabf5 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:59 p.m.