Triple
T26583465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuo City, Tokyo |
E667140
|
entity |
| Predicate | hasReclaimedLandArea |
P16193
|
FINISHED |
| Object | Harumi district |
—
|
NE NERFINISHED |
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: Harumi district | Statement: [Chuo City, Tokyo, hasReclaimedLandArea, Harumi district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReclaimedLandArea Context triple: [Chuo City, Tokyo, hasReclaimedLandArea, Harumi district]
-
A.
hasLandReclamation
chosen
Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
-
B.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
C.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
D.
leasedLandFor
Indicates that one party has granted another party the right to use a piece of land for a specified period under a lease agreement.
-
E.
cededLandArea
Indicates that one party has transferred control or ownership of a specified land area to another party, typically through a formal agreement or treaty.
- 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_69ee9cfb7e548190b60a9031182f5a7e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 27, 2026, 2:04 a.m.