Triple
T13769593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Julian |
E330843
|
entity |
| Predicate | locatedInSoutheastAsia |
P101859
|
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: [San Julian, locatedInSoutheastAsia, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInSoutheastAsia Context triple: [San Julian, locatedInSoutheastAsia, true]
-
A.
isInSoutheastAsia
chosen
Indicates that a place or entity is geographically located within the region of Southeast Asia.
-
B.
seaToSoutheast
Indicates that one entity is located to the southeast of a sea relative to another reference point or region.
-
C.
locatedInIslandNation
Indicates that one entity is geographically situated within the territory of a sovereign island nation.
-
D.
locatedInArchipelago
Indicates that one place or geographic entity is situated within or is part of a specific archipelago.
-
E.
locatedInStrait
Indicates that something is situated within or passes through a narrow body of water (a strait) that connects two larger bodies of water.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.