Triple
T787551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airport Line |
E16837
|
entity |
| Predicate | mapSymbol |
P19295
|
FINISHED |
| Object | AIR |
—
|
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: AIR | Statement: [Airport Line, mapSymbol, AIR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapSymbol Context triple: [Airport Line, mapSymbol, AIR]
-
A.
mapLabel
Indicates that a label or name is assigned to a map or mapped entity for identification or display.
-
B.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
C.
citySymbol
Indicates that one entity serves as the official symbol or emblem representing a particular city.
-
D.
coordinateSymbols
Indicates a relationship where one symbol is aligned or matched with another symbol in a coordinated or corresponding way.
-
E.
mainCoordinateSymbol
Indicates that one symbol serves as the primary coordinate reference or anchor for positioning or aligning other related elements.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a78171908190a38a70274bfbebf9 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:38 p.m.