Triple
T33291238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of the Living Waters |
E852322
|
entity |
| Predicate | isCoastalCityNickname |
P176454
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [City of the Living Waters, isCoastalCityNickname, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCoastalCityNickname Context triple: [City of the Living Waters, isCoastalCityNickname, true]
-
A.
isCoastalCityCodeFor
Indicates that a given code uniquely identifies a city that is located on or near a coast.
-
B.
coastalCityName
Indicates that a city is located on or very near a coast, typically bordering a sea or ocean.
-
C.
isCoastalCityLocality
Indicates that a city or locality is situated on or very near a sea or ocean coastline.
-
D.
isInCityNicknamed
Indicates that one entity is located in a city that is known by a particular nickname.
-
E.
isCoastalCountyLevelCityOf
Indicates that one entity is a county-level city that is located on or directly adjacent to a coastline within the jurisdiction of another entity.
- F. None of above. chosen
Provenance (4 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 1:32 a.m.