Triple
T2717491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peru Time |
E60001
|
entity |
| Predicate | usedInCity |
P4810
|
FINISHED |
| Object | Tacna |
E220880
|
NE 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: Tacna | Statement: [Peru Time, usedInCity, Tacna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tacna Context triple: [Peru Time, usedInCity, Tacna]
-
A.
Tacna
chosen
Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
-
B.
Yumbel
Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
-
C.
Chiguayante
Chiguayante is a Chilean city located near Concepción, known as part of the Greater Concepción metropolitan area in the south-central part of the country.
-
D.
Cahuenga
Cahuenga is a place name in the Los Angeles area, best known from Cahuenga Pass and Cahuenga Boulevard, derived from the language of the Indigenous Tongva people.
-
E.
Yoncalla
Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaad577c8190819d3c641c2406f4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.