Triple
T4889577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daule River |
E109523
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Daule |
E250931
|
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: Daule | Statement: [Daule River, nearCity, Daule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daule Context triple: [Daule River, nearCity, Daule]
-
A.
Daule
chosen
Daule is a town and canton in coastal Ecuador known for its rice production and location within the Guayas Province.
-
B.
Dijlah
Dijlah is the Arabic name for the Tigris River, one of the major rivers of Western Asia flowing through Turkey, Syria, and Iraq.
-
C.
Dumarao
Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
-
D.
Tajewala
Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
-
E.
Dzherman
Dzherman is a river in southwestern Bulgaria that serves as a significant tributary of the Struma River.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e06a81881908734dbdc350a2039 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be681704f08190938aec498d7d4662 |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:28 p.m.