Triple
T36171878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark water supply system |
E1046163
|
entity |
| Predicate | hasDistributionCenter |
P106228
|
FINISHED |
| Object | Newark water distribution network |
—
|
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: Newark water distribution network | Statement: [Newark water supply system, hasDistributionCenter, Newark water distribution network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistributionCenter Context triple: [Newark water supply system, hasDistributionCenter, Newark water distribution network]
-
A.
hasDistributionCenters
chosen
Indicates that one entity maintains or operates one or more distribution centers associated with another entity or area.
-
B.
hasDispatchCenter
Indicates that an entity is served, managed, or coordinated by a specific dispatch center.
-
C.
numberOfDistributionCenters
Indicates the quantity of distribution centers associated with a given entity.
-
D.
distributesFrom
Indicates that something acts as the source or origin from which items, resources, or information are distributed to others.
-
E.
dominantDistributionCenter
Indicates that a particular distribution center serves as the primary or most influential hub for distributing goods within a given network or region.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:08 p.m.