Triple
T6419478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasdaq-100 Equal Weighted Index |
E127908
|
entity |
| Predicate | hasWeightPerConstituent |
P70560
|
FINISHED |
| Object | approximately 1 percent at each rebalance |
—
|
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: approximately 1 percent at each rebalance | Statement: [Nasdaq-100 Equal Weighted Index, hasWeightPerConstituent, approximately 1 percent at each rebalance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeightPerConstituent Context triple: [Nasdaq-100 Equal Weighted Index, hasWeightPerConstituent, approximately 1 percent at each rebalance]
-
A.
hasMolecularWeight
Indicates that an entity possesses a specific molecular weight value, typically expressed in standardized units such as daltons or g/mol.
-
B.
numberOfConstituents
Indicates the total count of individual components or members that make up a larger whole or group.
-
C.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
D.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0690194dc8190b3382bd5f92876b5 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:43 p.m.