Triple
T31225105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi territorial waters |
E796115
|
entity |
| Predicate | lengthOfCoastlineCountry |
P92628
|
FINISHED |
| Object | short coastline |
—
|
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: short coastline | Statement: [Iraqi territorial waters, lengthOfCoastlineCountry, short coastline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfCoastlineCountry Context triple: [Iraqi territorial waters, lengthOfCoastlineCountry, short coastline]
-
A.
hasCoastlineLengthRank
Indicates the relative position of an entity in an ordered ranking based on the length of its coastline.
-
B.
hasCoastlineLengthApprox
chosen
Indicates an approximate measurement of the total length of an entity’s coastline.
-
C.
countryCoastlineOf
Indicates that a country has the specified coastline as part of its national territory or boundary.
-
D.
maritimeBoundaryLengthApproxKm
Indicates the approximate length, measured in kilometers, of a state's maritime boundary or coastline.
-
E.
hasCountryCoastlineOn
Indicates that a country has a coastline bordering a specified body of water or sea.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:10 p.m.