Triple
T21099246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agordat |
E519849
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Tigre |
—
|
NE NERFINISHED |
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: Tigre | Statement: [Agordat, languageSpoken, Tigre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigre Context triple: [Agordat, languageSpoken, Tigre]
-
A.
Tigre
chosen
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
B.
Tigre
Tigre is a riverside city in the Buenos Aires Province of Argentina, known for its Paraná Delta waterways, tourism, and recreational boating.
-
C.
Tigern
Tigern was a warship that took part in the early 17th-century naval Battle of Oliwa between the Polish–Lithuanian Commonwealth and Sweden.
-
D.
Tigri
Tigri is a locality in South Delhi, India, known primarily as a residential area that also hosts institutions such as the BSF Signal Training School.
-
E.
Jagüé
Jagüé is a small rural village in northwestern Argentina, known as a remote Andean settlement within La Rioja Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5b51608190aa286d89a9d54e9f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.