Triple
T214578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Positive Train Control |
E4790
|
entity |
| Predicate | usesTechnology |
P1485
|
FINISHED |
| Object | GPS |
E26827
|
NE 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: GPS | Statement: [Positive Train Control, usesTechnology, GPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GPS Context triple: [Positive Train Control, usesTechnology, GPS]
-
A.
GPS
chosen
GPS (Global Positioning System) is a satellite-based navigation system that provides precise location and timing information to military and civilian users worldwide.
-
B.
WGS84
WGS84 is the global geodetic reference system and standard coordinate framework used for GPS and most modern mapping applications.
-
C.
Atlas
Atlas is a Titan from Greek mythology best known for bearing the weight of the heavens on his shoulders as punishment from the gods.
-
D.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
E.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c32ae208190a03d504ef43ea659 |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.