Triple
T22504618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mittal family |
E556356
|
entity |
| Predicate | industryRanking |
P148491
|
FINISHED |
| Object | among largest steel producers globally via ArcelorMittal |
—
|
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: among largest steel producers globally via ArcelorMittal | Statement: [Mittal family, industryRanking, among largest steel producers globally via ArcelorMittal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryRanking Context triple: [Mittal family, industryRanking, among largest steel producers globally via ArcelorMittal]
-
A.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
B.
coalRank
Indicates the classification of coal based on its degree of metamorphism, quality, and carbon content.
-
C.
relatedRanking
Indicates a relationship where one item’s ranking is connected to or influenced by another item’s ranking.
-
D.
industryStatus
Indicates the current operational or regulatory condition of an entity within its industry (e.g., active, inactive, regulated, or restricted status).
-
E.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5ac5808190a66f9111c350f4dc |
completed | April 29, 2026, 1:22 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:50 p.m.