Triple
T6560892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistema de Tren Eléctrico Urbano |
E153778
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SITEUR |
E153779
|
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: SITEUR | Statement: [Sistema de Tren Eléctrico Urbano, shortName, SITEUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SITEUR Context triple: [Sistema de Tren Eléctrico Urbano, shortName, SITEUR]
-
A.
SITEUR
chosen
SITEUR is the public agency that operates the light rail and related mass transit services in the Guadalajara metropolitan area of Mexico.
-
B.
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
C.
SITE
SITE is a major industrial estate in Pakistan that hosts a large concentration of manufacturing and commercial enterprises.
-
D.
Site 52
Site 52 is one of the designated jar-bearing locations within Laos’s Plain of Jars archaeological landscape, known for its clusters of ancient megalithic stone vessels.
-
E.
Site W
Site W is a secure U.S. government facility in Washington, D.C., associated with classified national security and intelligence operations.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.