Triple
T15501316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadion |
E378959
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | STD |
E1124764
|
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: STD | Statement: [Stadion, hasStationCode, STD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STD Context triple: [Stadion, hasStationCode, STD]
-
A.
STD
chosen
STD is the National Rail station code assigned to Stroud railway station in Gloucestershire, England.
-
B.
STD
STD is an Internet Standards (STD) series designation used by the IETF to label documents that have reached full Internet Standard status.
-
C.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
-
D.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
-
E.
ST
ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3669f908819087162b1b8a4e4320 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:54 a.m.