Triple
T9182559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Mejillones |
E220368
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Mejillones |
E215834
|
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: Mejillones | Statement: [Port of Mejillones, locatedIn, Mejillones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mejillones Context triple: [Port of Mejillones, locatedIn, Mejillones]
-
A.
Mejillones
chosen
Mejillones is a coastal Chilean port city on the Pacific Ocean, known for its fishing industry and role in regional maritime trade.
-
B.
Camarones
Camarones is a Mexico City Metro station on Line 7 serving the Azcapotzalco area in the northwest of the city.
-
C.
Scampi
Scampi is one of the costumed crustacean mascots for the Jacksonville Jumbo Shrimp minor league baseball team, entertaining fans at their games.
-
D.
Oyster
Oyster is a contactless smartcard used for paying fares on public transport in London.
-
E.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc2553e548190898434aeda517407 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c0eeb0c8190a5a22c662726805c |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:23 p.m.