Triple
T32138412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SID |
E820835
|
entity |
| Predicate | stationCodeLength |
P174133
|
FINISHED |
| Object | 3 letters |
—
|
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: 3 letters | Statement: [SID, stationCodeLength, 3 letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationCodeLength Context triple: [SID, stationCodeLength, 3 letters]
-
A.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
B.
stationNumber
Indicates the specific station identifier or code assigned to an entity within a system or network.
-
C.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
-
D.
areaCodeLength
Indicates the number of digits or characters that make up a given area code.
-
E.
hasStationCodeRole
Indicates that an entity holds or is assigned a specific role associated with a station code within a system or context.
- 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:30 a.m.