Triple
T28264334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WMT |
E712659
|
entity |
| Predicate | isRetailSectorBenchmarkComponent |
P116570
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [WMT, isRetailSectorBenchmarkComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRetailSectorBenchmarkComponent Context triple: [WMT, isRetailSectorBenchmarkComponent, true]
-
A.
sectorBenchmarkFor
Indicates that one entity serves as a benchmark or reference standard for evaluating performance within a particular sector or industry for another entity.
-
B.
isBroadMarketBenchmark
Indicates that something serves as a broad market benchmark, representing the overall performance of a wide, diversified segment of a market rather than a narrow or specialized subset.
-
C.
isBenchmarkETF
Indicates that an exchange-traded fund (ETF) serves as a benchmark or reference standard against which other investments or funds are compared.
-
D.
hasMarketSector
chosen
Indicates that an entity operates within, is associated with, or belongs to a particular market sector or industry segment.
-
E.
isSectorSpecific
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6441c2ed081909128d8fe21b14fa4 |
completed | May 2, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:13 p.m.