Triple
T15220485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Guiria |
E363753
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Güiria
Güiria is a coastal town in eastern Venezuela known as a regional fishing and commercial hub on the Gulf of Paria.
|
E1144749
|
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: Güiria | Statement: [Port of Guiria, locatedIn, Güiria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Güiria Context triple: [Port of Guiria, locatedIn, Güiria]
-
A.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
B.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
-
C.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
D.
Guasca
Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
- 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: Güiria Triple: [Port of Guiria, locatedIn, Güiria]
Generated description
Güiria is a coastal town in eastern Venezuela known as a regional fishing and commercial hub on the Gulf of Paria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Güiria Target entity description: Güiria is a coastal town in eastern Venezuela known as a regional fishing and commercial hub on the Gulf of Paria.
-
A.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
B.
Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
-
C.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
D.
Guasca
Guasca is a small town and municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to the Chingaza National Natural Park.
-
E.
Garoua
Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3159fc81908c05cfbd0bd7e5ac |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedea1fea88190b891485794acfa8d |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf2b52348190bd8fc6999cb0abd7 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:12 a.m.