Triple
T18460861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unterland |
E451026
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
LI-02
LI-02 is the ISO 3166-2 subdivision code assigned to the Unterland electoral district of Liechtenstein.
|
E1325394
|
NE FINISHED |
How this triple was built (4 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: LI-02 | Statement: [Unterland, ISO3166-2Code, LI-02]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LI-02 Context triple: [Unterland, ISO3166-2Code, LI-02]
-
A.
Li-2T
Li-2T is a transport and paratroop variant of the Soviet Lisunov Li-2 aircraft, adapted for military cargo and troop-carrying roles.
-
B.
AL-02
AL-02 is the shorthand designation for Alabama's 2nd congressional district, a U.S. House of Representatives district covering parts of southeastern Alabama.
-
C.
WI-02
WI-02 is the commonly used shorthand for Wisconsin's 2nd congressional district, a U.S. House of Representatives district centered around the Madison area.
-
D.
OLI-2
OLI-2 is the Operational Land Imager sensor aboard the Landsat 9 satellite, designed to capture multispectral Earth observation imagery for environmental monitoring and land-use analysis.
-
E.
FI-02
FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: LI-02 Triple: [Unterland, ISO3166-2Code, LI-02]
Generated description
LI-02 is the ISO 3166-2 subdivision code assigned to the Unterland electoral district of Liechtenstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LI-02 Target entity description: LI-02 is the ISO 3166-2 subdivision code assigned to the Unterland electoral district of Liechtenstein.
-
A.
Li-2T
Li-2T is a transport and paratroop variant of the Soviet Lisunov Li-2 aircraft, adapted for military cargo and troop-carrying roles.
-
B.
AL-02
AL-02 is the shorthand designation for Alabama's 2nd congressional district, a U.S. House of Representatives district covering parts of southeastern Alabama.
-
C.
WI-02
WI-02 is the commonly used shorthand for Wisconsin's 2nd congressional district, a U.S. House of Representatives district centered around the Madison area.
-
D.
OLI-2
OLI-2 is the Operational Land Imager sensor aboard the Landsat 9 satellite, designed to capture multispectral Earth observation imagery for environmental monitoring and land-use analysis.
-
E.
FI-02
FI-02 is the ISO 3166-2 code that designates the region of Southwest Finland within the national subdivision system of Finland.
- F. None of above. chosen
Provenance (5 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7e65bc8190a824bce5b322c3de |
completed | April 19, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040febab8c819086707e68f2259fe9 |
completed | May 13, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_6a0410f9ed708190bd13037037487287 |
completed | May 13, 2026, 5:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0417b159b481908f963cf8b251d898 |
completed | May 13, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:33 a.m.