Triple
T31600204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | temporary unit of account (URV) |
E806328
|
entity |
| Predicate | roleInPlanoReal |
P201015
|
FINISHED |
| Object | nominal anchor for prices |
—
|
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: nominal anchor for prices | Statement: [temporary unit of account (URV), roleInPlanoReal, nominal anchor for prices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPlanoReal Context triple: [temporary unit of account (URV), roleInPlanoReal, nominal anchor for prices]
-
A.
roleAtHouston
Indicates that an entity holds or held a specific role or position at an organization, institution, or context associated with Houston.
-
B.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
C.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
D.
roleInModelland
Indicates that an entity has a specific role or function within a defined model or modeling framework.
-
E.
roleInGemini10
Indicates that an entity holds a specific role or position in the context of the Gemini 10 mission or project.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
| PDg | Predicate description generation | batch_69ffc15434c8819093aa3b33813613be |
completed | May 9, 2026, 11:20 p.m. |
Created at: April 30, 2026, 10:32 p.m.