Triple
T33176113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Paul Island |
E849177
|
entity |
| Predicate | ISO_territoryCode |
P19525
|
FINISHED |
| Object |
TF
TF is the ISO 3166-1 alpha-2 country code for the French Southern and Antarctic Lands, a French overseas territory in the southern Indian Ocean and Antarctica.
|
E1449368
|
NE FINISHED |
How this triple was built (3 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: TF | Statement: [Saint-Paul Island, ISO_territoryCode, TF]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TF Triple: [Saint-Paul Island, ISO_territoryCode, TF]
Generated description
TF is the ISO 3166-1 alpha-2 country code for the French Southern and Antarctic Lands, a French overseas territory in the southern Indian Ocean and Antarctica.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ISO_territoryCode Context triple: [Saint-Paul Island, ISO_territoryCode, TF]
-
A.
ISOCode
Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
-
B.
ISO3166-2RegionCode
Indicates the standardized ISO 3166-2 code that specifies the particular primary administrative subdivision (such as a state, province, or region) to which an entity belongs.
-
C.
ISOCodeContext
Indicates the contextual framework or domain within which a particular ISO code is defined, interpreted, or applied.
-
D.
ISO3166-1Code
chosen
Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
-
E.
territoryCode
Indicates the standardized code assigned to a specific geographic or administrative territory in the relationship.
- F. None of above.
Provenance (6 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3525c873f481909b92e35fa56fed88 |
completed | June 19, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_6a352658df508190b57cce861ed4fb5c |
completed | June 19, 2026, 11:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a35274ad9d88190a03c345e1f0e70e8 |
completed | June 19, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.