Triple
T11759746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Thomas Shoal |
E279621
|
entity |
| Predicate | featureTypeUnderUNCLOS |
P101218
|
FINISHED |
| Object | low-tide elevation |
—
|
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: low-tide elevation | Statement: [Second Thomas Shoal, featureTypeUnderUNCLOS, low-tide elevation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureTypeUnderUNCLOS Context triple: [Second Thomas Shoal, featureTypeUnderUNCLOS, low-tide elevation]
-
A.
statusUnderUNCLOS
Indicates the legal status or classification of an entity as defined under the United Nations Convention on the Law of the Sea (UNCLOS).
-
B.
claimedAsTerritorialSeaBy
Indicates that a body of water is asserted by a state or authority to be part of its territorial sea.
-
C.
appliesToTerritorialWatersOf
Indicates that something (such as a rule, status, or condition) is applicable within the territorial waters of a specified entity.
-
D.
seaAreaDesignation
Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
-
E.
coastlineFeature
Indicates that a geographic entity is a specific type of feature located along or forming part of a coastline.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890467a2481909ce6c669e739c8de |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:41 p.m.