Triple
T15458498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MA-02 |
E371833
|
entity |
| Predicate | isMapLabel |
P13793
|
FINISHED |
| Object | MA-02 |
—
|
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-02 | Statement: [MA-02, isMapLabel, MA-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMapLabel Context triple: [MA-02, isMapLabel, MA-02]
-
A.
mapLabel
chosen
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
isLabeledOn
Indicates that a label, tag, or identifying text is physically or virtually attached to or displayed on an entity.
-
C.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
D.
isRegularMap
Indicates that a mapping between two mathematical structures preserves the required regularity conditions (such as continuity, differentiability, or algebraic regularity) specified for that context.
-
E.
hasMapframe
Indicates that an entity is associated with an embedded, interactive map frame representation of its geographic location or area.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1623f0819086f6fc2bfd536609 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:32 a.m.