Triple
T4108012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nueva Ecija |
E88501
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Licab
Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
|
E413961
|
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: Licab | Statement: [Nueva Ecija, hasMunicipality, Licab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Licab Context triple: [Nueva Ecija, hasMunicipality, Licab]
-
A.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
B.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
C.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
E.
Labro
Labro is a small medieval hilltop village in central Italy known for its well-preserved historic architecture and scenic views over Lake Piediluco.
- 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: Licab Triple: [Nueva Ecija, hasMunicipality, Licab]
Generated description
Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Licab Target entity description: Licab is a rural agricultural municipality in the province of Nueva Ecija in the Philippines, known primarily for rice farming.
-
A.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
B.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
-
C.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Laja
Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
-
E.
Labro
Labro is a small medieval hilltop village in central Italy known for its well-preserved historic architecture and scenic views over Lake Piediluco.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019e23c481909578eba1c9270282 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8240248190afd026a450958d4c |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56cbf12348190836f79e509468a3d |
completed | March 14, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b570aef9008190bf8ef2deb00178ae |
completed | March 14, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:40 p.m.