Triple
T14136419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guayas metropolitan area |
E350306
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Naranjal |
E250933
|
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: Naranjal | Statement: [Guayas metropolitan area, hasPart, Naranjal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naranjal Context triple: [Guayas metropolitan area, hasPart, Naranjal]
-
A.
Naranjal
chosen
Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
-
B.
Naran
Naran is a popular mountain resort town and tourist destination in northern Pakistan, known for its scenic valleys, rivers, and access to sites like Lake Saif-ul-Malook.
-
C.
Palmilla
Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
-
D.
Cerezo
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
-
E.
Naranjo
Naranjo is the surname of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop style.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610fb86c81909eb26bf9c13696ca |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 10, 2026, 12:18 a.m.