Triple
T23283674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GICS |
E588932
|
entity |
| Predicate | hasSectorCount |
P115725
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [GICS, hasSectorCount, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectorCount Context triple: [GICS, hasSectorCount, 11]
-
A.
hasSectorization
Indicates that one entity is divided into, assigned to, or associated with specific sectors defined by another entity.
-
B.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
-
C.
focusSectorCount
Indicates the number of sectors that are designated as a primary or special focus within a given context.
-
D.
sectorCountApprox
Indicates that the number of sectors involved is an approximate or estimated count rather than an exact value.
-
E.
sectorCountReferenced
chosen
Indicates that one entity specifies or refers to the number of sectors associated with another entity.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196454b4c8190a797537ce8912241 |
completed | April 29, 2026, 5:25 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:58 p.m.