Triple
T2995479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alias |
E81054
|
entity |
| Predicate | featuresOrganization |
P629
|
FINISHED |
| Object | APO |
E245505
|
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: APO | Statement: [Alias, featuresOrganization, APO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APO Context triple: [Alias, featuresOrganization, APO]
-
A.
APO
chosen
APO is the stock ticker symbol for Apollo Global Management, a major global alternative investment firm specializing in private equity, credit, and real assets.
-
B.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
-
C.
AO
AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
-
D.
AO
AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
-
E.
AO
AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10908cfe48190bf244d5a3dbc958b |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.