Triple
T37827983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California US Routes |
E943117
|
entity |
| Predicate | beganNumbering |
P2230
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [California US Routes, beganNumbering, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganNumbering Context triple: [California US Routes, beganNumbering, 1920s]
-
A.
hasNumberingStart
Indicates that an ordered sequence or list begins at a specified starting number or position.
-
B.
beganOfficialNumberingWith
chosen
Indicates that an entity started its formal or official numbering sequence with a specified initial number or identifier.
-
C.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
D.
legalNumbering
Indicates that an entity has an officially assigned legal or regulatory identification number.
-
E.
followsNumbering
Indicates that one entity adheres to or continues the numbering sequence established by another entity.
- F. None of above.
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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.