Triple
T10373767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babahoyo |
E244448
|
entity |
| Predicate | demographicsLabel |
P2263
|
FINISHED |
| Object |
Babahoyense
Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
|
E860776
|
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: Babahoyense | Statement: [Babahoyo, demographicsLabel, Babahoyense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babahoyense Context triple: [Babahoyo, demographicsLabel, Babahoyense]
-
A.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
-
C.
Batbayan
Batbayan was a 7th-century Bulgar leader, known as the eldest son and successor of Khan Kubrat who briefly ruled the fragmented confederation of Old Great Bulgaria before its dissolution under Khazar pressure.
-
D.
Legazpi
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
-
E.
Legazpi
Legazpi is a coastal city in the Bicol Region of the Philippines known as a regional center and gateway to the iconic Mayon Volcano.
- 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: Babahoyense Triple: [Babahoyo, demographicsLabel, Babahoyense]
Generated description
Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babahoyense Target entity description: Babahoyense refers to the inhabitants or natives of Babahoyo, a city in Ecuador’s Los Ríos Province.
-
A.
Ibanag
Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
-
B.
Masbateño
Masbateño is a Central Philippine Bisayan language spoken primarily on Masbate Island in the Philippines.
-
C.
Batbayan
Batbayan was a 7th-century Bulgar leader, known as the eldest son and successor of Khan Kubrat who briefly ruled the fragmented confederation of Old Great Bulgaria before its dissolution under Khazar pressure.
-
D.
Legazpi
Legazpi is a Madrid Metro station and transport hub located in the Arganzuela district of Madrid, Spain.
-
E.
Legazpi
Legazpi is a coastal city in the Bicol Region of the Philippines known as a regional center and gateway to the iconic Mayon Volcano.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9804e708190b15f5d38cac9c4c1 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.