Triple
T11316856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arecibo, Puerto Rico |
E267989
|
entity |
| Predicate | hasBarrio |
P4813
|
FINISHED |
| Object |
Hato Abajo
Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
|
E919751
|
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: Hato Abajo | Statement: [Arecibo, Puerto Rico, hasBarrio, Hato Abajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hato Abajo Context triple: [Arecibo, Puerto Rico, hasBarrio, Hato Abajo]
-
A.
Loíza
Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
-
B.
Hato Corozal
Hato Corozal is a rural municipality in eastern Colombia known for its cattle ranching and llanero (plains) culture within the Casanare Department.
-
C.
Barranquitas
Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
-
D.
Montañita
Montañita is a popular Ecuadorian beach town renowned for its surfing waves, vibrant nightlife, and laid-back backpacker atmosphere.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- 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: Hato Abajo Triple: [Arecibo, Puerto Rico, hasBarrio, Hato Abajo]
Generated description
Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hato Abajo Target entity description: Hato Abajo is a barrio (district) of the municipality of Arecibo on the northern coast of Puerto Rico.
-
A.
Loíza
Loíza is a coastal municipality in Puerto Rico known for its rich Afro-Puerto Rican culture, traditional Bomba music and dance, and vibrant religious and folk festivals.
-
B.
Hato Corozal
Hato Corozal is a rural municipality in eastern Colombia known for its cattle ranching and llanero (plains) culture within the Casanare Department.
-
C.
Barranquitas
Barranquitas is a mountainous inland municipality of Puerto Rico known for its cool climate, scenic views, and traditional cultural festivals.
-
D.
Montañita
Montañita is a popular Ecuadorian beach town renowned for its surfing waves, vibrant nightlife, and laid-back backpacker atmosphere.
-
E.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542f294988190bb456326e4184dcb |
completed | April 19, 2026, 9:02 p.m. |
| NEDg | Description generation | batch_69e5474879088190990468d960b26739 |
completed | April 19, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e54eccdd3881908536ee3f9f4ef516 |
completed | April 19, 2026, 9:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.