Triple
T10913945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hato Rey station |
E257770
|
entity |
| Predicate | hasAdjacentStation |
P231
|
FINISHED |
| Object |
Domenech station
Domenech station is a metro station on the Tren Urbano rapid transit system in San Juan, Puerto Rico.
|
E922567
|
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: Domenech station | Statement: [Hato Rey station, hasAdjacentStation, Domenech station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Domenech station Context triple: [Hato Rey station, hasAdjacentStation, Domenech station]
-
A.
Francisco Goitia station
Francisco Goitia station is a stop on the Xochimilco Light Rail system in Mexico City, serving local commuters in the southern part of the city.
-
B.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
C.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
D.
Los Reyes station
Los Reyes station is a Mexico City Metro stop on Line A serving the Los Reyes La Paz area in the eastern part of the metropolitan region.
-
E.
Rocafort station
Rocafort station is an underground Barcelona Metro stop in the Eixample district, serving passengers on Line 1.
- 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: Domenech station Triple: [Hato Rey station, hasAdjacentStation, Domenech station]
Generated description
Domenech station is a metro station on the Tren Urbano rapid transit system in San Juan, Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Domenech station Target entity description: Domenech station is a metro station on the Tren Urbano rapid transit system in San Juan, Puerto Rico.
-
A.
Francisco Goitia station
Francisco Goitia station is a stop on the Xochimilco Light Rail system in Mexico City, serving local commuters in the southern part of the city.
-
B.
Francisco station
Francisco station is an elevated Chicago 'L' rapid transit stop on the Brown Line located in the city's Ravenswood Manor neighborhood.
-
C.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
D.
Los Reyes station
Los Reyes station is a Mexico City Metro stop on Line A serving the Los Reyes La Paz area in the eastern part of the metropolitan region.
-
E.
Rocafort station
Rocafort station is an underground Barcelona Metro stop in the Eixample district, serving passengers on Line 1.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77073d12881908ea59771b84bc804 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58a8c67248190be284ddd84f9d8b8 |
completed | April 20, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69e59323c5948190bc2c9512f7b0a54f |
completed | April 20, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e599c53704819097c0fdbbfbbb1e87 |
completed | April 20, 2026, 3:13 a.m. |
Created at: April 8, 2026, 9:22 p.m.