Triple
T13245265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moquegua Region |
E315385
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ilo |
E807364
|
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: Ilo | Statement: [Moquegua Region, hasCity, Ilo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilo Context triple: [Moquegua Region, hasCity, Ilo]
-
A.
Ilo
Ilo is a given name associated with the individual Ilo Browne Wallace.
-
B.
Ilo
chosen
Ilo is a coastal port city in southern Peru known for its fishing industry and maritime trade.
-
C.
Warihío
Warihío is an Indigenous Uto-Aztecan-speaking people of northwestern Mexico, primarily living in the Sierra Madre Occidental region of Chihuahua and Sonora.
-
D.
Namuana
Namuana is a coastal Fijian village on the island of Kadavu, known in local legend for its connection to turtle-calling traditions.
-
E.
Río
Río is a central character in the Spanish television series "La Casa de Papel" ("Money Heist"), known as a young, talented hacker and member of the Professor's heist crew.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5b06148190a44e698bbe5cd529 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f17ba9081909929201be937c2cf |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:23 p.m.