Triple
T17048333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaxhá |
E413627
|
entity |
| Predicate | nearbySite |
P350
|
FINISHED |
| Object | Naranjo |
E643903
|
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: Naranjo | Statement: [Yaxhá, nearbySite, Naranjo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naranjo Context triple: [Yaxhá, nearbySite, Naranjo]
-
A.
Naranjo
chosen
Naranjo was a major ancient Maya city-state in present-day Guatemala, known for its powerful dynasty, extensive hieroglyphic inscriptions, and frequent warfare with neighboring polities.
-
B.
Naranjo
Naranjo is the surname of Spanish singer and songwriter Mónica Naranjo, known for her powerful voice and dramatic pop style.
-
C.
El Limón
El Limón is a small municipality in the state of Jalisco, Mexico, known for its rural character and agricultural activities.
-
D.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
E.
Gurabo
Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9f799c8190a683ae38cd990643 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233fb8d88190a9a6ef6a2f19a499 |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.