Triple
T923267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortune Global 500 |
E19928
|
entity |
| Predicate | numberOfRankedCompanies |
P17464
|
FINISHED |
| Object | 500 |
—
|
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: 500 | Statement: [Fortune Global 500, numberOfRankedCompanies, 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRankedCompanies Context triple: [Fortune Global 500, numberOfRankedCompanies, 500]
-
A.
numberOfRankedPeople
Indicates the total count of people who have been assigned a rank within a given context or system.
-
B.
hasNumberOfCompanies
chosen
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
-
C.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
D.
rankedAmong
Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
-
E.
depthRank
Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b314f6fc81908a3ccc2e741e3c2b |
completed | March 1, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69a4b295b02481908e5f53bfcb83cc94 |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.