Triple
T1202871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge city center |
E25820
|
entity |
| Predicate | zoningIncludes |
P22582
|
FINISHED |
| Object | business districts |
—
|
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: business districts | Statement: [Cambridge city center, zoningIncludes, business districts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoningIncludes Context triple: [Cambridge city center, zoningIncludes, business districts]
-
A.
zoningCharacter
Indicates how the regulatory or functional nature of a geographic area is defined or classified in terms of land-use zoning.
-
B.
entailsTerritorialDesignation
Indicates that one entity’s status, action, or condition necessarily results in or includes a specific territorial designation being applied or recognized.
-
C.
cityPlanningDesignation
Indicates how an area is officially classified or designated within urban or municipal planning (e.g., residential, commercial, industrial).
-
D.
hasZone
Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
-
E.
includesDistrict
chosen
Indicates that one administrative or geographic entity contains or encompasses a specific district within its boundaries.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbda0b081909c0147121a945e27 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.