Triple
T16887956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LYNX light rail system |
E421586
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | CATS bus network |
E418292
|
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: CATS bus network | Statement: [LYNX light rail system, connectsWith, CATS bus network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CATS bus network Context triple: [LYNX light rail system, connectsWith, CATS bus network]
-
A.
CATS bus network
chosen
The CATS bus network is the primary public bus transit system serving Charlotte, North Carolina and its surrounding region.
-
B.
STAR bus network
The STAR bus network is the primary public bus system serving Rennes and its metropolitan area in France.
-
C.
CTS bus network
The CTS bus network is the public bus transportation system serving Strasbourg and its surrounding metropolitan area in northeastern France.
-
D.
TheBus network
TheBus network is the public bus transportation system serving the island of Oʻahu in Honolulu County, Hawaiʻi.
-
E.
Tan bus network
The Tan bus network is the public transportation system serving the Nantes metropolitan area in western France, operating numerous bus routes that connect surrounding communes such as Saint-Sébastien-sur-Loire.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc2f6d081909c76fa2a6b87e083 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2befaa88190ba83dc17aa66b541 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.