Triple
T14021251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Insurance City |
E337334
|
entity |
| Predicate | sectorSignificance |
P50235
|
FINISHED |
| Object | major center of U.S. insurance industry |
—
|
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: major center of U.S. insurance industry | Statement: [The Insurance City, sectorSignificance, major center of U.S. insurance industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorSignificance Context triple: [The Insurance City, sectorSignificance, major center of U.S. insurance industry]
-
A.
sectorInfluence
Indicates the degree to which one sector affects, shapes, or exerts control over another sector or over outcomes within that sector.
-
B.
sectorStrength
Indicates the relative performance or influence level of a specific sector compared to others within a broader system or market.
-
C.
sectorRecognized
Indicates that an entity has been formally acknowledged or classified within a particular sector or industry.
-
D.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
E.
notableSector
chosen
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3c7cd88190b236382058581740 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.