Triple
T14698689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iberica (Spanish Wars) |
E345230
|
entity |
| Predicate | writtenBy |
P806
|
FINISHED |
| Object | Appian |
E212508
|
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: Appian | Statement: [Iberica (Spanish Wars), writtenBy, Appian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Appian Context triple: [Iberica (Spanish Wars), writtenBy, Appian]
-
A.
Appian
chosen
Appian was a 2nd-century AD Roman historian of Greek origin best known for his multi-volume work "Roman History," which includes a detailed account of the Roman civil wars.
-
B.
Appirio
Appirio is a cloud services and consulting company known for helping enterprises implement and optimize platforms like Salesforce and Workday.
-
C.
Zoho Creator
Zoho Creator is a low-code application development platform that enables users to quickly build and deploy custom business apps with minimal programming.
-
D.
Zoho Sprints
Zoho Sprints is an agile project management tool designed to help software and product teams plan, track, and iterate on work using Scrum-based workflows.
-
E.
Zoho Projects
Zoho Projects is a cloud-based project management and collaboration tool designed to help teams plan, track, and deliver projects efficiently.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.